Senior Databricks Platform Administrator

Company has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform , the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase — including POC validation, platform governance, and operational best practices. This role is ideal for someone who enjoys working at the architectural and platform level , helping organizations avoid common pitfalls and ensuring the Databricks environment is built for scalability, performance, security, and cost optimization from day one. You will have the opportunity to shine with your expertise by advising the client on platform design, governance models, cluster strategy, and DevOps automation , while helping establish the foundation for a robust enterprise Lakehouse environment. Key Skills & Experience Databricks workspace administration and cluster governance Unity Catalog, Delta Lake, and Spark performance optimization AWS architecture including IAM, VPC, S3, KMS, PrivateLink, and CloudWatch Terraform and Infrastructure-as-Code for platform provisioning CI/CD pipelines, Git workflows, Databricks CLI, and API integrations Automation using Python or Bash Cost optimization and platform governance strategies Nice to Have Experience with: Delta Live Tables Auto Loader MLflow Feature Store Databricks Serverless Computer 7+ years of experience #J-18808-Ljbffr