Azure Data Solution Architect

Who You'll Be Working With

As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data‑driven decision making  will translate business strategy into robust, governed, and AI‑ready architectures, taking end‑to‑end ownership from vision through delivery and value realisation.

As a Solution Architect with an Azure and Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms.

• 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.
• Design and oversee the delivery of secure data warehouses and data lake houses:
  Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• 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.
• Design, monitor and optimise data pipelines and infrastructure:
  Analyse performance metrics, identify bottlenecks, and implement optimisations for efficiency and scalability.
• Collaborate with cross‑functional teams:
  Work closely with business analysts, data scientists and Dev Ops 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.
• Be a Databricks champion or on the pathway to become one.

You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations and the need for trusted, mission‑critical data. You will have a proven ability to design secure, scalable and well‑governed data foundations that support analytics, AI and GenAI while meeting requirements for data protection, sovereignty, transparency and auditability.

You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi‑supplier delivery teams to align around shared standards, reuse platforms effectively and build sustainable data capabilities that deliver long‑term value for citizens and public services.

• Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing Databricks solutions.
• Proven expertise in Databricks, Apache Spark and data platforms with a strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.
• Excellent problem‑solving and analytical skills and strong communication and teamwork skills.
• Passion for data and a thirst for learning, and is either already a Databricks champion or working towards it.
• Relevant architecture certifications from Microsoft and Databricks.

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.

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, giving you countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and more.