8+ years of experience in Platform Engineering, Cloud Engineering, or Data Platform Administration.
Strong hands-on expertise in Databricks Workspace Administration, Unity Catalog, Cluster Policies, and enterprise Data Governance.
Experience configuring and managing access control, permissions, security, and compliance across the Databricks platform.
Proficiency in platform performance tuning, monitoring, troubleshooting, and cost optimization.
Experience implementing advanced Databricks capabilities, including Genie, Lakehouse Apps, Delta Lake, and Lakehouse Architecture.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Strong experience with Infrastructure as Code (Terraform), CI/CD pipelines, automation, and Git/DevOps best practices.
Proficiency in scripting using Python, Bash, or PowerShell.
Experience with monitoring and observability tools for platform health and performance.
Relevant Databricks or cloud platform certifications are a plus.
Excellent analytical, problem-solving, communication, and stakeholder management skills