Senior DevOps Databricks Engineer

About The Role
We are looking for a Databricks Senior DevOps Engineer to design, build, and operate enterprise-grade data and ML platforms on AWS and Databricks for our Financial Crime platform.
This role focuses on platform infrastructure, governance, security, and operations, not pure data engineering or Spark coding. You will have full administrative ownership of the Databricks environment to ensure it is scalable, secure, compliant, and production-ready.
Key Responsibilities
Architect, build, and operate end-to-end data and ML platforms on AWS and Databricks
Own and administer Databricks workspaces for the Financial Crime platform
Lead DevSecOps and DataOps practices, including infrastructure-as-code (IaC) and CI/CD pipelines for data and ML workflows
Configure and optimize Databricks compute clusters (job clusters and all-purpose clusters) for performance, scalability, and cost efficiency
Manage and enforce governance through Unity Catalog, including access...

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