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Azure Fabric Architect

Job in Brighton and Hove, Brighton & Hove, East Sussex, England, UK
Listing for: Capgemini
Full Time position Listed on 2026-11-11
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 70000 - 90000 GBP Yearly GBP 70000.00 90000.00 YEAR

Job Description & How to Apply Below

Location: Brighton and Hove

# Azure Fabric Architect Bristol, Manchester, Newcastle Bank House, Birmingham, London Apply for this job
* Permanent* Experienced Professionals
* Architecture* -##
** 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, Azure and GCP along with various data platforms like Databricks and Snowflake
*
* Please Note:

** 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.##
** The Focus Of Your Role
** 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 (and/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.
* Ability to 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 operationalise 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,…
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