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Azure Data Architect (with Specialty or Commercial Insurance

Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listing for: Capgemini
Full Time, Remote/Work from Home position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Azure Data Architect (with Specialty or Commercial Insurance)

This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Title:
Azure Data Architect (with Specialty or Commercial Insurance)

Location:
London (Hybrid Working)

About the Job you are considering:

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.

Hybrid working:

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.

Your Role:

  • 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, Dev Ops, and business teams.
  • Define CI/CD, Dev Ops, 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.

Your Skills:

  • 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 Gen
    2.
  • 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 Dev Ops practices using Azure Dev Ops, 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.

Lon…

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