Chief Solution Architect (Pre-sales, AI + Data Transformation) Reporting to: Managing Director, UK&I As Google Cloud's premier partner in AI and Data Transformation, we provide world class businesses with the strategic consulting and technical execution required for cutting edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future prove their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs. The Role Datatonic is seeking a Chief Solution Architect as the first hire in our new pre sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies. You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large scale engagements with direct links to the C suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic's offerings in the market. You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C suite and architect levels. What You'll Do Pre Sales Leadership Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives. Take an insight led approach to bring industry best practices in data and AI to shape and guide clients' strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+. Strategic Advisory Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners. Work with our GTM team to create industry relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions. Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments. Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7-12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre sales or client facing advisory role. Strong knowledge of cloud based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments. Hands on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross skill to GCP quickly will be considered. Excellent written and verbal communication; able to simplify complex technical ideas for business leaders. A consultative sales approach with experience shaping deals over $1M. Comfortable presenting to C suite, negotiating trade offs, and influencing stakeholders. Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies What Success Looks Like (first 12 months) Consistently shaping and winning large scale data and AI transformations for our biggest clients. Recognized by Sales as the go to technical partner for complex pursuits. Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed. Trusted by strategic accounts as a value driven advisor. Strong contribution as a thought leader to vertical narratives, events, and Datatonic's GTM.
25/07/2026
Full time
Chief Solution Architect (Pre-sales, AI + Data Transformation) Reporting to: Managing Director, UK&I As Google Cloud's premier partner in AI and Data Transformation, we provide world class businesses with the strategic consulting and technical execution required for cutting edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future prove their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs. The Role Datatonic is seeking a Chief Solution Architect as the first hire in our new pre sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies. You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large scale engagements with direct links to the C suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic's offerings in the market. You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C suite and architect levels. What You'll Do Pre Sales Leadership Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives. Take an insight led approach to bring industry best practices in data and AI to shape and guide clients' strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+. Strategic Advisory Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners. Work with our GTM team to create industry relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions. Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments. Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7-12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre sales or client facing advisory role. Strong knowledge of cloud based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments. Hands on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross skill to GCP quickly will be considered. Excellent written and verbal communication; able to simplify complex technical ideas for business leaders. A consultative sales approach with experience shaping deals over $1M. Comfortable presenting to C suite, negotiating trade offs, and influencing stakeholders. Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies What Success Looks Like (first 12 months) Consistently shaping and winning large scale data and AI transformations for our biggest clients. Recognized by Sales as the go to technical partner for complex pursuits. Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed. Trusted by strategic accounts as a value driven advisor. Strong contribution as a thought leader to vertical narratives, events, and Datatonic's GTM.
A leading data and AI consultancy in Greater London is seeking a Principal Data Architect to design and implement cutting-edge data solutions on Google Cloud. You will consult with clients to understand their needs and deliver scalable data architectures. The ideal candidate has experience in data modeling, governance, and strong programming skills. This role offers a hybrid work model, competitive benefits, and the chance to work with innovative technologies that drive client success.
21/07/2026
Full time
A leading data and AI consultancy in Greater London is seeking a Principal Data Architect to design and implement cutting-edge data solutions on Google Cloud. You will consult with clients to understand their needs and deliver scalable data architectures. The ideal candidate has experience in data modeling, governance, and strong programming skills. This role offers a hybrid work model, competitive benefits, and the chance to work with innovative technologies that drive client success.
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you. What You'll Do Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client's business needs, leveraging the best of Google Cloud technologies. Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions. Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture. Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery. Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering: Data governance and compliance Scalable and efficient data modeling techniques Ensuring data quality and integrity Data management, security, and privacy best practices Establishing optimal workflows and operational efficiencies Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate: Cloud best practices Scalable and efficient ingestion strategies Feature engineering methodologies End-to-end production readiness Leverage Leading Technologies: Design and implement solutions using key partner technologies, including: Google Cloud - BigQuery, Dataflow, Vertex AI, and more dbt Labs - Modern analytics engineering and transformation Snowflake - Cloud-native data warehousing Fivetran - Automated data pipelines for seamless integration What You'll Bring Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions Analytical & Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach Communication & Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
21/07/2026
Full time
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you. What You'll Do Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client's business needs, leveraging the best of Google Cloud technologies. Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions. Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture. Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery. Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering: Data governance and compliance Scalable and efficient data modeling techniques Ensuring data quality and integrity Data management, security, and privacy best practices Establishing optimal workflows and operational efficiencies Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate: Cloud best practices Scalable and efficient ingestion strategies Feature engineering methodologies End-to-end production readiness Leverage Leading Technologies: Design and implement solutions using key partner technologies, including: Google Cloud - BigQuery, Dataflow, Vertex AI, and more dbt Labs - Modern analytics engineering and transformation Snowflake - Cloud-native data warehousing Fivetran - Automated data pipelines for seamless integration What You'll Bring Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions Analytical & Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach Communication & Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
Datatonic in London is seeking a Senior DevOps Engineer to strengthen client DevOps practices and modernize pipelines on Google Cloud. The role suits someone with initial DevOps experience or a software engineer transitioning into the DevOps field. You will collaborate with ML, data engineers and clients, design robust CI/CD pipelines, and champion best practices while helping scale infrastructure across projects in a dynamic, hybrid work environment.
15/07/2026
Full time
Datatonic in London is seeking a Senior DevOps Engineer to strengthen client DevOps practices and modernize pipelines on Google Cloud. The role suits someone with initial DevOps experience or a software engineer transitioning into the DevOps field. You will collaborate with ML, data engineers and clients, design robust CI/CD pipelines, and champion best practices while helping scale infrastructure across projects in a dynamic, hybrid work environment.
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. This opportunity is ideal for someone who has gained initial experience in a DevOps role or for a Software Engineer seeking to transition into the DevOps field. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects. What You'll Do Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines Best Practices Advisory: Provide expert advice to customers on DevOps best practices Function Optimisation: Establish and enhance DevOps functions within clients' organisations Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery What You'll Bring DevOps Experience: 4+ years of experience in the DevOps field or as a Software Engineer Programming Skills: Proficiency in Python, Java, or Go programming languages CI/CD Expertise: In-depth knowledge of CI/CD tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud Client-Facing Role: Prior experience in a client-facing position SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
15/07/2026
Full time
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. This opportunity is ideal for someone who has gained initial experience in a DevOps role or for a Software Engineer seeking to transition into the DevOps field. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects. What You'll Do Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines Best Practices Advisory: Provide expert advice to customers on DevOps best practices Function Optimisation: Establish and enhance DevOps functions within clients' organisations Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery What You'll Bring DevOps Experience: 4+ years of experience in the DevOps field or as a Software Engineer Programming Skills: Proficiency in Python, Java, or Go programming languages CI/CD Expertise: In-depth knowledge of CI/CD tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud Client-Facing Role: Prior experience in a client-facing position SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.