This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Who You Will Be Working With
As a senior Data Solution Architect with an Azure and Databricks focus, you'll design the secure, scalable data platforms that our clients' analytics, AI and agentic systems run on. You'll own architecture from vision through to delivery: lakehouse and data-warehouse design, governance and trust, and increasingly the AI-native patterns (retrieval, vector search, agent orchestration) that let AI systems use enterprise data safely.
As a senior architect, you'll also shape solutions and proposals alongside our sales and delivery teams, acting as the technical authority who turns client goals into deliverable, well-costed designs. Experience in public sector or other regulated industries is especially valued.
Please Note
Security Clearance: To be appointed to this role, you must be eligible to obtain UK Security Check (SC) clearance. To obtain SC clearance, you must have resided continuously in the United Kingdom for the last 5 years, along with other criteria. Throughout the recruitment process you'll be asked about your security clearance eligibility, including country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons, so you may be asked about your citizenship.
The Focus Of The Role
As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
What You Will Be Doing
We are looking for strong Data and Solution Architects who are passionate and focused on data solutions and who ideally have skills in many of the following areas:
- Lead data platform architecture. Own the design and implementation of cloud-native data platforms, and drive modernisation strategies that move legacy systems to scalable, cloud-native solutions.
- Design lakehouse architectures. Unify data lakes and warehouses to support advanced analytics, ML and GenAI workloads.
- Define AI-native and agentic reference architectures. Design retrieval and RAG platforms, embeddings and vector search, feature and model serving, and patterns for exposing governed data to AI agents (for example through the Model Context Protocol), with the guardrails and human oversight that non-deterministic systems require.
- Own data governance and trust. Establish lineage, access control, data quality and auditability using tools such as Unity Catalog and Microsoft Purview, aligned to responsible-AI expectations and emerging regulation (for example the EU AI Act and the UK's approach). In regulated and public sector work, this is a core part of the value, not an afterthought.
- Provide technical pre-sales leadership. Shape solution direction, proposals, costing and estimates, and act as the technical liaison between clients, sales and delivery teams through to contracting. (This is solution shaping and technical authority, not a revenue-target sales role.)
- Set standards and optimise. Define reusable patterns, review designs against the architectural blueprint, and monitor and tune performance, cost and scalability across platforms.
- Mentor and collaborate. Work closely with data engineers, data scientists, platform engineers and business analysts, growing capability and keeping solutions aligned to the overall architecture.
- Stay ahead of the curve. Track the fast-moving data and AI landscape and bring credible, pragmatic recommendations.
Your Experience and Skills
- Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing cloud data solutions
- Proven expertise in data platforms with a strong understanding of data warehousing concepts and practices.
- Excellent problem-solving and analytical skills and strong communication and teamwork skills.
- Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
- Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
- Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
- Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices
- Relevant Architecture certifications from leading cloud platform providers
- Ideally a background in Public Sector or other regulated industries
In addition to these core skills, you should have specialist experience in 2 or more of the following technologies:
Azure
- Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake & Fabric. Understand which Azure data focused components to use for which purpose.
- Microsoft certified architect
Databricks
- Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
- Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
- Be a Databricks champion or have some Databricks certifications
AWS
- Work hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and more
- Strong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).
- AWS Certified Architect
Additional Info
Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)
What we’ll offer you
You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
Why We're Different
At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
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