WinsAbove

Job ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please consult your local HR representative. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WinsAbove is looking for a Solutions Architect to join their team in London. This role involves engaging with complex customers across the UK and Ireland, demonstrating the capabilities of the Databricks Lakehouse Platform. You will utilize your technical skills to influence stakeholders and provide customized solutions. The ideal candidate should have hands-on experience in technical pre-sales and a strong foundation in Data Science and AI technologies. Join WinsAbove to drive the evolution of data science and analytics in a customer-centric environment.

WinsAbove is seeking a Senior Solutions Architect to act as a technical authority and trusted advisor. You will work closely with major clients, providing insights on how the Elastic Stack can solve their business issues. The ideal candidate will have at least 4 years in technical presales roles, extensive experience in enterprise search, and a passion for continuous learning and customer relations. Competitive pay and flexible working hours are offered.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Job location: United Kingdom What is The Role Are you looking to make a real impact and play a meaningful role in our company's growth? As a Senior Solutions Architect (SA) at Elastic, you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customers' business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be focused on excellence, taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. This role involves working with some of our largest clients in the enterprise sector. What You Will Be Doing Serving as the technical point of contact for some of our biggest clients within the Enterprise Sector. Developing a deep understanding of customers' goals and objectives and articulating how our offerings address their needs. Creating and owning value-based relationships at all levels in customer organisations. Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win. Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings and at events such as meetups and conferences. Advising the sales team on effective ways of positioning Elastic products, solutions and services. Onboarding, educating and enabling our partners, and supporting them in sales cycles. Creating collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs. Being the voice of the customer and community to communicate needs, gaps, and enhancements to our engineering and leadership teams. Deepening both your sales and technical skills through self-driven education while taking advantage of all the professional development opportunities provided by Elastic. What You Bring Min 4 years of success in a technical presales role -selling, demonstrating and implementing technology to earn your customer's trust Experience in at least one of those technologies/solutions is a must: enterprise search, observability or cybersecurity Experience with cybersecurity or observability is a strong advantage Experience working within the Enterprise sector, and having the understanding to stay competitive and successfully navigate the sector's unique challenges A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies. A real passion for being curious and a continuous learner. You are someone who invests in yourself as much as you invest in your professional relationships. A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors. An ability to influence. Have you more than once convinced a team you worked for of an idea, technology, or architectural pattern? The ability to inspire groups, both large and small. A willingness to travel 30% within a region, as well as occasionally internationally. Fluent in English (business level) Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world. Reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Act as a hands on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for Experience in solutions architecture, technical consulting, or pre sales, with a strong hands on approach to solving customer problems. Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required. Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark. Hands on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept. Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. Nice to have: Databricks Certification. The candidate must be able to commute to London offices regularly and travel approximately. % of the time across UK& I for customer visits. Benefits At Databricks, we provide comprehensive benefits and perks that meet the needs of all employees. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks is seeking a field level engineer to engage customers across the UK, driving adoption of the Databricks Data Intelligence Platform. You'll craft architectures, run workshops, and act as a trusted advisor on data and AI solutions from London offices. You will develop core capabilities, collaborate with Account Executives, and travel 20-30% across the UK&I to nurture customer relationships and scale best practices.

Databricks is seeking a highly motivated Solutions Architect for the UK&I region, based in London. You will work with Account Executives to design and present Data & AI solutions, including Generative AI concepts, to enterprise customers. You will coach junior team members and engage across the cloud ecosystem, travelling 20-30% to customer sites and events. You will influence stakeholders from engineers to executives and contribute to customer success while advancing Lakehouse adoption and

Job ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Professional Business Team, which focuses on supporting and growing customers in the UK&I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications: Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, Facebook. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production level ML and AI workloads, including end to end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool calling, multi agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production grade cloud infrastructure (AWS, Azure, GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands on experience working with distributed Spark based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre sales or post sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer facing experience would be preferred. Preferred Experience working with Apache Spark to process large scale distributed datasets. Communication: Proven ability to communicate and teach complex technical concepts to both technical and non technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits We offer comprehensive benefits and perks. For specific details on the benefits offered in your region, please visit the benefits portal. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks is seeking a Senior Specialist Solutions Architect (ML & AI) to act as the trusted technical expert for customers and Field Engineering. You will guide enterprise workloads on the Databricks Data Intelligence Platform, focus on GenAI, ML, MLOps, and LLMOps, and mentor peers while advancing the AI roadmap. You will engage with Solution Architects to design production-grade ML/AI solutions, deliver MVPs, and lead deep-dive sessions that align AI outcomes with business challenges.

CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes serves multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from 'win' to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python or Spark Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please refer to the company benefits portal. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ ID: FEQ227R246 Location:London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to % travel to London offices and customer sites Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WinsAbove is seeking an expert in technical pre-sales, engaging with complex customers to implement their Data Intelligence Platform. This role blends customer interaction, technical execution, and solution development, supporting our Utilities customers to establish the platform as their choice. Ideal candidates will have technical experience in Data Engineering or AI and possess strong relationship-building skills. Join us to foster innovation and enhance customer experiences in data.

Job Overview The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. Lakebase Product-Line Technical Competencies 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The Impact You Will Have Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast-paced, customer-facing environments. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WinsAbove is hiring a Delivery Solutions Architect to enhance customer success with the Databricks platform in Greater London. You will collaborate cross-functionally to accelerate the adoption of data solutions in complex environments. The role requires strong technical leadership, program delivery experience, and the ability to manage critical customer relationships. You will be responsible for developing comprehensive execution plans and driving onboard processes across multiple use cases.

WinsAbove is looking for an experienced Solutions Architect to enhance client engagement and drive product adoption for Databricks' Lakebase product line. The role requires significant expertise in data architecture, client collaboration, and technical problem-solving. The ideal candidate will have over 10 years of experience with transactional databases and 6+ years in customer-facing roles, along with skills in SQL and Python. This role offers an opportunity to impact client success directly through strategic influence and technical leadership.

WinsAbove seeks a talented professional for a role that involves working closely with clients in the UK, providing technical support using the Databricks Data Intelligence Platform. You'll collaborate with a customer-focused team to solve complex data challenges, ensuring customer success and growth. The ideal candidate will have a robust background in data science, proven programming skills, and the ability to build trusted relationships with clients. This position requires travel across the UK, about 20-30% of the time.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. At Datadog, we place value in our office culture-the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work life harmony that best fits them. What You'll Do: Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers Own technical engagement with customers during the trial phase. Communicate Datadog's value based on activities and work with customers on any identified issues or concerns to successful conclusion Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical briefings / presentations to potential clients Maintain accurate notes and feedback in CRM regarding customer input both wins and losses Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape Who You Are: Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc. Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role Able to sit up to 4 hours, traveling to and from client sites Able to travel via auto, train or air up to 45% of the time Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are Candidate Legal Notices for your reference.

WinsAbove is looking for an Enterprise Sales Engineer to provide technical expertise through sales presentations and product demonstrations. You will partner with the Sales team to engage customers and help close opportunities while providing valuable feedback to the product team. The ideal candidate has a strong background in communication, programming, and customer engagement with at least 3 years of experience in a Sales Engineering or DevOps role. The company offers generous benefits and values continuous professional development.

JOB ID: FEQ227R179 Location: London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Act as a hands on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for Experience in solutions architecture, technical consulting, or pre sales, with a strong hands on approach to solving customer problems. Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required. You will work with customers in the enterprise space, focusing on the Consumer Packaged Goods (CPG) industry, but you will also consider the Retail industry. Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark. Hands on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept. Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. Nice to have: Databricks Certification The candidate must be able to commute to London offices regularly and travel approximately. 20-30% of the time across UK&I for customer visits Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.