Databricks 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 to delivery and value realisation.

You will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.

We specialise on using the latest frameworks, reference architectures and technologies using AWS and GCP along with various data platforms like Databricks and Snowflake.

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.

As a Solution Architect with a Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will combine deep Databricks and Apache Spark expertise with strong client engagement skills to shape solutions from early-stage opportunity through delivery. You will lead our Databricks partnership activity, helping develop joint propositions, enablement, and go‑to‑market plans, and you will support pre‑sales by contributing to discovery, solution design, estimates, and compelling client‑facing materials.

• Design and build high‑performance data platforms:
  Utilize Databricks and Apache Spark to extract, transform, and load data across cloud and on‑premises sources and targets.
• 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 and leverage Databricks capabilities to develop predictive models and drive business insights.
• Design, Monitor and optimize data pipelines and infrastructure:
  Analyze performance metrics, identify bottlenecks, and implement optimizations 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.
• Lead the Databricks partnership:
  Own the day-to-day relationship, coordinate joint account planning, support enablement and certifications, and contribute to joint propositions and go‑to‑market activity.
• Support pre‑sales activity:
  Lead/assist discovery workshops, define solution options and reference architectures, contribute to estimates and delivery approaches, and help produce high‑quality proposals and presentations.
• 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…