Databricks Architect -Happiest Minds - Bangalore | Chennai/Pune

Job description

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.