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About the role
Data Architect / Senior Data Architect (1016 years) Role Overview Platform/solution architect for enterprise lakehouse programs: governance, security, lineage, cost/performance guardrails and platform standards. Core Responsibilities Own target-state lakehouse architecture: metastores, Unity Catalog topology, workspace strategy, governed sharing, lineage. Define platform standards for DLT/Workflows, streaming, CDC/SCDs, data contracts, and schema strategy. Establish cluster policies, pools, autoscaling, Photon adoption, cost guardrails & FinOps dashboards at org level. Lead modernization (legacy DW/ETL Databricks) with migration patterns, parallel run, and cutover. Set DataOps & observability standards: CI/CD, test suites, SLIs/SLOs, reliability scorecards; security/privacy posture. Must-have Skills (Screening Focus) Expert Spark/Delta internals; large-scale performance engineering and cost governance. Unity Catalog governance (RBAC/ABAC), row/column security; audit & compliance readiness. Estate-wide DLT/Workflows standards; migration playbooks; ADRs & platform blueprints. Nice-to-have (Prefer, not Mandatory) Delta Sharing, Marketplace, Lakehouse Federation; Model Serving/Vector Search awareness.
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