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.
Multi-cloud architecture; FinOps maturity.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Architect Databricks Bengaluru (India)
🏢 Happiest Minds Technologies
📍 India