GCP Data Architect

? Contract Opportunity: Data Architect – London Market Insurance ?

Location:Central London (Hybrid – 2 days/week in office)

Duration:6 months (initial engagement, with likely extensions)

We’re partnering with a leading global insurance group to recruit an experiencedData Architectfor a major data transformation initiative. This is a fantastic opportunity for a seasoned contractor with deep expertise in theLondon Market insurancesector and a passion for building robust, scalable data architectures using modern cloud technologies.

Key Responsibilities:

• Design and lead the implementation of data architectures aligned with business and regulatory requirements.
• Champion best practices indata modelling, ensuring consistency and scalability across the enterprise.
• Play a critical role in the build-out and optimisation of aMedallion architectureusingDatabricksand theAzure data platform.
• Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
• Govern and enhance the overall data platform, ensuring high data quality, lineage, and performance.

Requirements:

• Proven experience inLondon Market insurancedata environments – essential.
• Strong background indata architecture, particularly withinAzureecosystems (e.g., Azure Data Lake, Synapse, Data Factory).
• Hands-on expertise withDatabricksand implementingMedallion architecturepatterns.
• Advanceddata modellingcapabilities, with experience across operational and analytical domains.
• Excellent stakeholder management and communication skills.

Why Apply?

• Work on a high-impact programme in a globally recognised insurance environment.
• Flexible hybrid working (2 days in Central London office).
• Join a forward-thinking team with a strong technology roadmap and investment in modern data platforms.

Apply nowto find out more – this is an exclusive opportunity with interviews taking place shortly.

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Created on 31/05/2025 by JR United Kingdom

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