Databricks Inc.

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. As a Senior Solutions Architect in the IMEA Pre Sales team (MEA - Africa Fly in), 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. Join us in our quest to change how people work with data and make a better world! The impact you will have: Create impactful and successful relationships with customer accounts focused on South Africa, but in Africa in general, providing technical and business value to Databricks customers in collaboration with the extended team. Act as a trusted advisor to C level executives, defining long term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation. Lead strategic engagements across the Africa. Shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth in alignment with Africa Vision. Scale best practices in your field by authoring reference architectures, how tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: 8+ years of experience engaging in customer interactions for technical pre sales and complex sales lifecycles. Experience and expertise in enterprise engagements will be highly preferable for the role. Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. Ability to provide technical solutions for specialised customer needs, navigate a competitive landscape and influence C level executives by developing relationships and orchestrating teams to achieve long term customer success. Hands on expertise with complex Big Data architecture design for public cloud platform(s) solutions, focusing on use cases in Data Warehousing and Data Engineering architecture and implementation. Data Science and Machine Learning skills will be advantageous. Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark . Experience and skills on the Databricks platform will be highly advantageous for the role! Key Notes: Location for the role can be in London or Paris (i.e., within a commutable distance of these office locations for hybrid schedule). You will need to be flexible and willing to travel to South Africa (and sometimes other countries in Africa) for customer visits on a regular basis (i.e., up to 2 weeks per month). Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region. Excellent communication skills in English required as a minimum. 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 and Facebook. 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 visit 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.

A leading data and AI company in Greater London seeks a Senior Solutions Architect to engage with customers in Africa. You will leverage your technical expertise to build relationships and propose complex data solutions. Ideal candidates have over 8 years in technical pre-sales and experience with Big Data architecture and the Databricks platform. Flexibility to travel for customer visits is essential, with a collaborative, customer-focused team culture promoting innovation and creativity.

A leading AI and data solutions provider in London is seeking an AI Engineer to develop innovative GenAI applications and serve as a trusted advisor to clients. Ideal candidates will have experience with cutting-edge tools and technologies, a strong data science background, and a passion for collaboration. This role involves cross-functional teamwork to influence product direction and working with diverse customer needs in a dynamic environment.

The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side by side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands on, customer facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. Impact you will have Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production grade systems from data ingestion and transformation through ML/AI model integration to user facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre sales through post deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. 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. Follow us on Twitter, LinkedIn and Facebook. 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 visit 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.

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have Solve real business needs at large scale by applying your software engineering. Low level systems debugging, performance measurement, and optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. 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 and Facebook. 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 visit 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.

A leading data and AI company is seeking an experienced Senior Staff Software Engineer to design and maintain their backend systems. The ideal candidate will have over 15 years' experience with large-scale distributed systems and a strong background in algorithms. You will provide mentorship to junior engineers and drive complex technical projects, ensuring the delivery of high-quality solutions. Competitive benefits and a commitment to diversity are part of the company culture.

A leading data and AI infrastructure company in Greater London is looking for a founding Software Engineer to join their team. This role involves working on distributed systems and creating services for cloud storage backends, requiring 8+ years of experience with languages like Java, Scala, or C++. Candidates should have a BS degree in Computer Science and be familiar with SaaS platforms. Join us to help shape the future of our Lakehouse platform.

A leading data and AI company is seeking a Data & AI Solutions Architect in London. This hybrid role involves working with clients on impactful data engineering projects using the Databricks platform. The ideal candidate will have extensive experience in data platforms, proficiency in Python or Scala, and possess strong project delivery skills. You will consult on architecture and guide customers through their big data challenges, ensuring they maximize the value of their data. Join a collaborative team dedicated to excellence and innovation.

Data & AI Solutions Architect (Professional Services) London, United Kingdom Location: Hybrid - London We're hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Data & AI Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data & AI Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. Impact and Responsibilities The impact you will have: Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystemsAWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 10% of the time Preferred Databricks Certification but not essential 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 and Facebook . 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 visit . 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. 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, 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 with an applicant on this basis alone.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the London site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you will have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. Develop product features that empower our customers to easily store and access their data. Solve reliability problems related to Lakebase. Actively find causes of downtime and systematically improve or remove root causes. Help the org define SLIs, meet SLOs, and drive long-term reliability improvements. What we look for: BS degree (or higher) in Computer Science, or a related field. 8+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience working on a SaaS platform or with Service-Oriented Architectures. Knowledge of SQL. About Databricks

A leading data and AI company is seeking a Forward Deployed Engineer to work directly with strategic customers, designing and delivering innovative fullstack applications on their platform. This role combines software engineering skills and customer interaction, focusing on solutions that integrate data and AI. Ideal candidates will have experience in application delivery and a strong collaborative mindset, along with the ability to engage with diverse stakeholders.

London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets 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 and Facebook. 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 visit 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.

Location: London, UK (Remote/Flexible with travel) Reports to: Senior Manager, Field Engineering The Opportunity: Reshaping the Future of Retail From personalised shopping experiences to sustainable supply chains, data is the engine driving the Retail and Consumer Packaged Goods (CPG) industries forward. At Databricks, we are looking for a strategic technical leader to help the world's biggest brands turn their data into intelligence. As a Lead/Senior Solutions Architect, you won't just be building architectures; you will be building relationships, strategies, and the future of our team. You will act as a bridge between business goals and technical reality, ensuring our customers succeed and our internal teams thrive. Why You'll Love This Role Strategic Influence: You will move beyond purely technical tasks to shape long-term data strategies for complex, enterprise scale organisations. Mentorship & Leadership: As a senior member of the team, you will have a direct hand in coaching junior architects, fostering a culture of learning and "technical championship." Defined Career Paths: We don't guess about your growth. You can choose to develop in four clear tracks: Technical Specialisation, Industry Thought Leadership, Strategic Customer Vision, or People Management. Our Philosophy We value curiosity over perfection. If you have experience in data and a passion for the Retail/CPG space, but don't meet every single technical requirement, we encourage you to apply. We are interested in your potential and your ability to solve complex problems. How You Will Make an Impact Trusted Advisory: You will build authentic partnerships with stakeholders-from developers to C suite executives-helping them understand the vision of the Databricks Data Intelligence Platform. Strategic Planning: Partner closely with Account Executives to design engagement strategies that address the specific, high stakes needs of large Retail/CPG customers. Team Coaching: Act as a mentor for the wider team, guiding them on how to prioritise use cases and build technical credibility with clients. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading workshops, creating customer facing content, and speaking at industry meet ups. What We Are Looking For We are looking for a blend of technical expertise, industry insight, and emotional intelligence. Industry & Strategic Experience: Retail/CPG Knowledge: Experience working within the Retail or CPG sectors, understanding the nuances of consumer data, supply chains, or merchandising. Enterprise Engagement: Experience navigating complex, strategic accounts. You know how to manage multiple stakeholders and long term sales lifecycles (Global account experience is a plus, but deep experience with complex large scale accounts is the priority). Technical Expertise: Architecture & Cloud: Hands on experience designing proofs of concept for Big Data solutions on public cloud platforms (AWS, Azure, or GCP). Coding Foundations: Proficiency in a core programming language (e.g., Python, Java, or Scala) and a willingness to learn Apache Spark. Problem Solving: The ability to design creative technical solutions for specialised customer needs. Communication & Travel: Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non technical leaders. Travel: This role requires travel to customer sites in the UK and London offices (approx. %). We support flexible scheduling to help manage this travel alongside your personal life. Nice to Have: Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratise 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 and Facebook. 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 visit

A leading data-driven company is seeking a Lead/Senior Solutions Architect based in London, UK, with a focus on the Retail and Consumer Packaged Goods sectors. This role involves shaping long-term data strategies, mentoring junior architects, and fostering partnerships with stakeholders across the business. Candidates should possess strong technical expertise in cloud platforms and programming, alongside experience in navigating complex enterprise environments. Travel to customer sites will be required as part of the position.

Req ID FEQ426R407 About the Role As a Field Engineer specializing in Databricks Strategic Built on Partners, you will be the technical expert supporting strategic partners who build their B2B, customer-facing products on the Databricks platform. You will play a central role in solution architecture, enablement, evaluation, and collaborative innovation, helping partners design, deploy, and optimize robust and scalable data and AI-powered solutions, powered by Databricks. Key Responsibilities Partner Technical Leadership: Serve as the technical authority for prospective and current Built on strategic partners building products and solutions on Databricks. Well-Architected Framework: Develop and continuously optimize a framework of best practices and guidelines for building and operating reliable, secure, efficient, and cost-effective workloads on Databricks. Solution Architecture: Guide partners through solution design and integration, delivering architecture best practices for data engineering, data science, and AI workloads. Enablement & Workshops: Deliver technical enablement, training, and workshops to upskill partner technical teams on Databricks' capabilities and advanced features. Proof of Concept Execution: Lead and support POCs and pilots, addressing technical challenges and highlighting the value of Databricks in the Built on partner solution context. Technical Escalation Management: Provide direct technical support as an escalation point for deployment, integration, and performance issues. Relationship Management: Build strong, trust-based relationships with partner engineering teams and collaborate closely with Databricks' internal Product, Field Engineering, and Sales teams. Thought Leadership: Represent Databricks in strategic partner meetings and events. Advocate for the needs of Built on partners internally to influence the Databricks product roadmap. Best Practice Development: Develop and share reusable frameworks, guides, and reference architectures for partner enablement. Continuous Learning: Stay up-to-date with new data and AI trends, platform features, and industry best practices to ensure partners benefit from cutting-edge capabilities. Required Qualifications Minimum 7 years' experience in field engineering, solution architecture, or partner-facing technical roles in the cloud, data, or AI / ML domains. Deep hands-on expertise with Databricks, Spark, and related data / AI platforms. Proven capability in designing and delivering large-scale data and AI architectures for partners or enterprise customers. Strong proficiency in cloud-native architectures (Azure, AWS, GCP), Python and / or Scala, and orchestration frameworks. Demonstrated experience managing technical relationships and projects in a partner ecosystem. Excellent communication, presentation, and consultative skills. Experience conducting technical workshops and enablement sessions. Ability to lead and resolve complex technical challenges in fast-paced, ambiguous environments. Preferred Qualifications Experience with building or supporting ISV solutions, SaaS platforms, or integration ecosystems. Working knowledge of ML / AI frameworks, data governance, security, and compliance in cloud environments. Previous experience driving go-to-market initiatives with strategic partners. Open-source contributions or community engagement in data and AI technologies. Key Competencies Strategic and technical acumen Relationship-building skills Execution-focused mindset Commitment to learning and innovation Team player with a collaborative approach

A global data and AI company is hiring a Data Platform Solutions Architect. This hybrid role in London involves working with clients on big data challenges, designing reference architectures, and providing escalated support. The ideal candidate should have extensive experience in data engineering and cloud platforms, proficiency in Python or Scala, and a proven track record in managing technical projects. This is a unique opportunity to contribute to impactful customer projects while promoting data driven solutions.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the London site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you will have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. Develop product features that empower our customers to easily store and access their data. Solve reliability problems related to Lakebase. Actively find causes of downtime and systematically improve or remove root causes. Help the org define SLIs, meet SLOs, and drive long-term reliability improvements. What we look for: BS degree (or higher) in Computer Science, or a related field. 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience working on a SaaS platform or with Service-Oriented Architectures. Knowledge of SQL. About Databricks

Data Platform Solutions Architect (Professional Services) London, United Kingdom Location: Hybrid - London We're hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 10% of the time Databricks Certification but not essential 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 and Facebook. 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 visit 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.

A leading technology firm in London is seeking a Software Engineer to join their founding team. This role involves addressing engineering challenges such as developing robust backend services and enhancing system reliability across distributed architectures. Candidates should have over 5 years of experience in Java, Scala, or C++, coupled with a strong educational background in Computer Science. This position offers a unique opportunity to influence the development of innovative data solutions and support the company's multi-year Lakehouse initiative.

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). 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 20-30% 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 and Facebook . 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 visit . Our Commitment to Diversity and Inclusion