Lead Data Engineer
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Summary
Lead the design and delivery of enterprise-scale data platforms on Databricks and AWS, combining architecture leadership with hands-on engineering of Lakehouse solutions, modern data pipelines, and AI/ML or Generative AI workloads while mentoring data engineers.
Job Description
We are seeking an experienced Databricks Architect / Lead Data Engineer to lead the design, development, and delivery of enterprise-scale data platforms on Databricks and AWS.
The role combines architecture leadership with hands‑on engineering responsibilities, including building scalable Lakehouse solutions, modern data pipelines, and AI/ML workloads.
Key Responsibilities
- Design and own Databricks Lakehouse architecture on AWS. Lead multiple Databricks initiatives and mentor data engineers.
- Build and optimize data pipelines using Python, PySpark, SQL, and Delta Lake. Implement Medallion Architecture (Bronze, Silver, Gold layers).
- Develop batch, streaming, and near real‑time data solutions. Enable AI/ML and Generative AI use cases on Databricks.
- Establish governance, security, Unity Catalog, RBAC, and operational controls. Integrate Databricks with AWS services including S3, IAM, networking, and data platforms.
- Drive CI/CD, automated testing, deployment automation, and observability.
- Troubleshoot and optimize Spark workloads for performance, reliability, and cost.
- Required Experience In Data Engineering experience.
- And hands‑on Databricks experience. as a Databricks Architect or equivalent architecture role.
- delivering AI/ML or Generative AI solutions on Databricks. and AWS experience.