Lead Data Engineer (Databricks)

Summit Lake Digital is seeking a hands-on Lead Data Engineer to design and build Databricks lakehouses for clients. In this role, you will set platform standards, deliver medallion and governance layers, and mentor junior engineers while acting as a technical anchor on client accounts.

• Design and build end-to-end lakehouse solutions on Databricks, bronze/silver/gold medallion across client engagements
• Stand up and govern Unity Catalog (access, lineage, PII masking) and CI/CD with Databricks Asset Bundles, Git, and Workflows / Lakeflow
• Build ingestion pipelines from enterprise sources via Lakeflow Connect, Auto Loader, ADF or AWS Glue, or partner connectors
• Optimize Spark / Delta pipelines for performance and cost
• Partner with analytics engineers to expose gold models to Power BI and Genie
• Act as a client-facing technical lead: translate requirements into architecture and present to US stakeholders
• Set and document engineering standards; mentor junior engineers; contribute to reusable SLD accelerators

• 7+ years in data engineering, including 3+ hands-on with Databricks in production
• Deep Spark / PySpark, advanced SQL, and Delta Lake; fluent in medallion architecture
• Hands-on Unity Catalog, Databricks Workflows / Lakeflow, Asset Bundles, and Git-based CI/CD
• Strong cloud experience on Azure or AWS and Infrastructure-as-Code (Terraform) a strong plus
• Proven end-to-end implementations and client-facing / consulting experience
• Excellent English communication; comfort with ambiguity and multiple concurrent engagements
• Based in India and willing to overlap with US business hours