Rate: Based on Experience
Visa : Any Visa Except OPT
Note: Only candidates with 7+ years of Data Platform/Architecture experience and 3+ years of hands-on production Databricks on AWS experience can apply.
Candidates must have strong expertise in Unity Catalog, Databricks Platform Administration, Terraform, CI/CD, SQL, and PySpark. Pure Data Engineers without platform administration and governance experience are not eligible.
· We are looking for a hands-on Databricks Architect / Platform Administrator with solid AWS experience to join our AI & Analytics Team. You will be the trusted technical advisor who shapes how the platform is built and run, and who keeps the client ahead of what Databricks offers.
· You will define and implement best practices for a Databricks Platform: Unity Catalog design and access control (grants, row/column security, masking), workspace and environment strategy, cluster policies and cost governance, platform-as-code with Terraform and Databricks Asset Bundles, monitoring,upgrades, release and incident management, data pipelines best practices, and the standards for the medallion architecture, SQL Warehouses, dashboards and Genie spaces that you and the delivery teams will follow. Just as important, you need up to date with Databricks& rapidly evolving roadmap, evaluating new features such as Lakeflow, Lakebase, Databricks Apps, AI Gateway, etc recommending which ones to adopt and when.
· We are looking for someone with 7+ years in data platform or architecture roles and at least 3 years hands on/running production Databricks on AWS, deep Unity Catalog and platform administration and development hands-on experience, Terraform and CI/CD skills, strong SQL and PySpark.
· You stay current with Databricks releases, explain trade-offs clearly to client stakeholders in English, Databricks and AWS certifications are preferred.
