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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Architect (with Specialty or Commercial Insurance) - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Salary:** £81,516.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Application Integration Architecture, Microsoft Azure, Cloud Database, Continuous Integration, Data Architecture, Data Validation, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Data Mart, Data Warehousing, DevOps, Dimensional Modeling, Apache Hive, Python (Programming Language), Metadata, Meta-Data Management, Role-Based Access Control, Power BI, Azure Data Lake, SQL Databases, Data Streaming, Data Ingestion, Azure Data Factory, Git, Data Layers, Data Lakes, Pyspark, Data Lineage, Bicep, Data Management, Cloud Migration, Api Design, Terraform, Azure Synapse Analytics, Data Pipelines, Azure Resource Manager, Key Vault, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5847552233 ## About the Role We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London Market Insurance., * Strong experience as a Data Architect or Senior Data Architect. * Strong hands-on experience with Azure Databricks. * Strong architecture and implementation experience with Azure Data Factory. Strong understanding of Azure Data Lake Storage Gen2. * Strong experience with Delta Lake, lakehouse architecture, and medallion architecture. * Excellent knowledge of data modelling, dimensional modelling, canonical data models, and enterprise data models. * Strong experience in designing ETL/ELT data pipelines. * Good understanding of PySpark, Spark SQL, Python, and SQL. Strong knowledge of data warehouse, data lake, data mart, and semantic layer architecture. * Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. * Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. * Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints, and encryption. Experience with CI/CD and DevOps practices using Azure DevOps, Git, ARM templates, Bicep, or Terraform. * Strong stakeholder management, communication, presentation, and documentation skills. * Ability to lead architecture discussions with business, technology, and senior client stakeholders. ## Description * Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI. * Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers. * Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions. * Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints. Define architecture patterns for batch, incremental, real-time, and API-based data ingestion. * Design reusable data ingestion and transformation frameworks using ADF and Databricks. * Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data. * Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. * Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives. Review technical designs, data models, ETL/ELT pipelines, and engineering implementation. * Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake. * Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams. * Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms. * Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services. * Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops., The candidate should have exposure to one or more of the following areas: * Lloyd's Market operations * London Market Insurance operating model * Specialty insurance and commercial insurance * Broker, carrier, managing agent, and syndicate data flows Underwriting data architecture * Claims data architecture * Policy administration data Premium and claims accounting * Bordereaux processing * Delegated authority and binder data * Coverholder data * Reinsurance data * Regulatory and compliance reporting * Financial and management reporting * Blueprint Two / London Market modernisation data initiatives We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: * Declare they have a disability, and * Meet the minimum essential criteria for the role. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)