Databricks Platform Engineer

Architect, configure, and maintain Databricks workspaces, clusters, and jobs
for enterprise-scale workloads
Implement and enforce security, governance, and compliance best practices
across Databricks
Optimize cluster performance, cost management, and resource utilization
Build and maintain automation scripts and Infrastructure as Code (IaC) for
Databricks provisioning and operations
Integrate Databricks with data sources and downstream tools such as
Snowflake, Fabric, Data Lake, and BI platforms
Collaborate with data engineers, scientists, and business users to enable
efficient
workflows and self-service capabilities
Monitor and troubleshoot Databricks jobs, pipelines, and infrastructure issues
Contribute to DevOps practices, including CI/CD for notebooks, pipelines, and
ML models
Stay updated with the latest features and best practices in Databricks,
Snowflake, and Fabric technologies to enhance platform capabilities