Job Description:

Databricks Architect

Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai

• Architect and implement Databricks-based data platforms and Lakehouse solutions on Azure.
• Data modelling (medallion architecture — Bronze/Silver/Gold), Python / SQL (advanced)
• Design scalable ETL/ELT pipelines using Spark, Delta Lake, and DBT; enforce schema, compaction, and partition strategies.
• Define and implement data governance, access control, and lineage with Unity Catalog and Azure Purview.
• Optimize Spark jobs for performance and cost; implement cluster sizing, autoscaling, and job scheduling.
• Build robust ingestion patterns (APIs, streaming, batch), incremental/CDC strategies, and idempotent pipelines.
• Establish CI/CD, IaC (Terraform), and monitoring/observability for Databricks workspaces and pipelines.
• Mentor engineering teams on best practices, coding standards, and operational runbooks.

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