Azure Fabric 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. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts dedicated to driving customers’ digital and data transformation journeys using modern cloud platforms. We specialise in using the latest frameworks, reference architectures and technologies on AWS, Azure and GCP along with data platforms such as Databricks and Snowflake.

Security Clearance
:
To be successfully appointed to this role you 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 five years, along with other criteria and requirements. 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 an Azure Data Factory (ADF) and Microsoft Fabric focus, you will be an integral part of our team dedicated to building scalable, secure, and well‑governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real‑Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data‑driven operations.

• Design and build high‑performance data integration solutions:
  Use Azure Data Factory (or Fabric Data Factory) to orchestrate ingestion, transformation, and movement of data across on‑premises and cloud sources into Azure services.
• Design and oversee the delivery of secure lakehouse and warehouse architectures:
  Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data.
• Design, build and deploy AI/ML‑enabled solutions:
  Enable feature‑ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to ope rationalise models and drive business insights.
• Design, monitor and optimise data pipelines and platform performance:
  Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability.
• Collaborate with cross‑functional teams:
  Work closely with business analysts, data engineers, data scientists, and platform/Dev Ops teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model.
• Stay ahead of the curve:
  Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices.
• Support governance and metadata management:
  Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products.
• Own security architecture for data platforms:
  Design identity, access, and secrets management (e.g., Entra , managed identities, Key Vault) and apply network and monitoring controls appropriate for sensitive public sector workloads.
• Embed engineering excellence:
  Define CI/CD and release management for ADF/Fabric, including Git integration, branching strategies, automated testing, and repeatable environment provisioning using Infrastructure‑as‑Code (e.g., Bicep/Terraform).
• Drive Fin Ops and capacity planning:
  Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value.
• Lead migration and modernisation:
  Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition…