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    Enterprise Data Architect – Insurance

    Location: London (Hybrid)

    Contract Type: Full-time

    Enterprise Data Architect with an Insurance background and expertise across Enterprise Data Architecture, BI/Reporting, and Solution Architecture experience sought by a leading Global Insurance Group. The Senior Data Architect will report directly to the Chief Technology Officer operate as part of a wider CTO Office.

    You will be responsible for the assessment of the impact of business requirements on the Enterprise Data Architecture, and provide advisory services, oversight technical support and review to multiple legal entity data transformation engagements on topics ranging from data scoping, data modelling, data management, solution design, data architecture and data engineering. You will effectively represent the CTO function and will be responsible to deliver appropriate data services for Line of Business engagements.


    • Significant experience as a Data Architect – Ideally 10-15 years’ experience in designing enterprise-wide data architecture, BI/ Reporting and solution architecture design
    • Experience with relational data structures, theories, principles, and practices – TOGAF Certified
    • Experience in Enterprise-level tooling for Data Modelling and Data Governance
    • High level of expertise in Conceptual and Logical Data Modelling and the application of Data Standards to BI
    • Good understanding of Inmon / Kimball Data Warehousing Methodologies
    • Experience in Microsoft Business Intelligence Development Stack (DBMS / SSIS / SSRS / Power BI)
    • Alternative Experience in Business Intelligence Tooling (Tableau, Qlik, SAS VA, etc)
    • Experience in design, build and implementation of Cloud Technologies (Azure, AWS, Snowflake)
    • Experience in agile delivery and development (DevOps,CI/CD) using a data engineering stack
    • Experience in Wherescape Red or other equivalent low code transformation tools
    • Proven track record of successfully delivering system integration, BI and/or data warehousing
    • Knowledge of insurance market business applications and procedures and/or from an equivalent industry

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