Data Architect

Data Architect

Location: LondonWorking model: HybridThis contract sits within a major data platform transformation programme, driven by regulatory pressure and the need to modernise legacy data estates. The work is focused on building a scalable, metadata-driven data platform that supports enterprise-wide analytics and reporting.The engagement is delivered via a leading consultancy, embedded within a well-established financial services organisation. You’ll be working alongside senior architects, platform engineers, and data teams to shape a Databricks-led ecosystem that is actually fit for purpose, not just another lift-and-shift exercise.This is a 6 to 12 month contract, operating on a hybrid basis in London. The role is design-led but expects someone who can operate close to the code when needed. You’ll own solution design across the platform, ensuring patterns are robust, repeatable, and deployable.The environment is centred around Databricks, with a strong emphasis on metadata-driven processing, lineage, and structured data layers across Raw, Generic, and Business domains. The programme is moving at pace, so designs need to be pragmatic, not academic.You’ll be responsible for defining architectural patterns, guiding multiple delivery squads, and ensuring consistency across the platform. This includes shaping frameworks, reviewing implementation, and stepping into technical detail where required, particularly around Python and workflow orchestration.Key Skills & Experience:Strong experience designing enterprise data platforms, ideally on DatabricksProven track record delivering metadata-driven architectures and data lineage modelsHands‑on capability with Python in data platform or engineering contextsExperience defining data layer architectures across Raw, Curated, and Business layersSolid understanding of Databricks Workflows and orchestration patternsAbility to operate across multiple squads, providing architectural governance and directionExperience working within regulated environments, ideally financial servicesIf you’ve designed data platforms that actually get used, rather than just documented, this is worth a conversation.
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