We’re looking for a Databricks Technical Lead who can guide the design and build-out of our data engineering and transformation platforms. This person will be the go-to expert on Databricks, Delta Lake, and Spark, and will help shape how data flows across our organization — from ingestion all the way through our curated layers.
This is a hands-on leadership role. You won’t just review work — you’ll help solve hard problems, mentor engineers, set standards, and make architecture decisions that will influence the platform for years.
What You’ll Do
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Lead the technical direction for Databricks-based data pipelines and frameworks.
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Design and review patterns for ingesting, transforming, and publishing data (Bronze → Silver → Gold).
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Define best practices around Delta Lake, schema evolution, SCD handling, and metadata-driven transformations.
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Provide technical oversight across multiple engineering squads.
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Work with architects, data modelers, quality engineers, and operations teams to ensure pipelines are built the right way.
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Mentor data engineers and help elevate the overall engineering capability.
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Oversee Unity Catalog governance, including RBAC, lineage, and schema enforcement.
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Help troubleshoot complex performance issues and guide teams on tuning and optimization.
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Support integration with orchestration tools and CI/CD processes.