Databricks Administrator Role We are seeking an experienced Databricks Administrator to manage configure and optimize Databricks environments across cloud platforms The ideal candidate will ensure platform stability security performance and cost efficiency while supporting data engineering and analytics teams Key Responsibilities Administer and manage Databricks workspaces clusters and jobs across cloud environments Azure AWS GCP Configure and optimize cluster policies autoscaling and resource utilization for performance and cost efficiency Implement and maintain security best practices including IAM access controls ACLs Unity Catalog and data governance policies Manage user access roles permissions and workspace-level security Automate infrastructure provisioning and platform configurations using Terraform and integrate with CI CD pipelines Monitor platform health job executions and system performance proactively troubleshoot and resolve issues Provide operational support including incident management root cause analysis backup and recovery Integrate Databricks with cloud storage data warehouses and orchestration tools Ensure compliance with organizational security audit and governance standards Collaborate with data engineers architects and DevOps teams to support data platform initiatives Manage networking configurations including VNET VPC integration private endpoints firewall rules and secure connectivity Required Skills Experience 4 years of experience working with cloud-based data platforms 2-3 years of hands-on experience in Databricks administration Strong expertise in cluster management workspace configuration and job orchestration Solid understanding of Databricks security concepts IAM ACLs Unity Catalog and data governance Experience with Terraform and CI CD automation for infrastructure and platform management Hands-on experience integrating Databricks with cloud storage data warehouses and pipeline orchestration tools Robust troubleshooting skills with experience in operational support monitoring backup and recovery Good understanding of cloud networking concepts including firewall rules and secure connectivity Experience working in Azure AWS or GCP environments Nice to Have Databricks or cloud platform certifications Experience with cost optimization and usage monitoring Exposure to monitoring tools like Azure Monitor CloudWatch or equivalent Understanding of data engineering workflows and Spark fundamentals Job Type Full-time Pay 10 00 - 18 00 per year Work Location Hybrid remote in Pune Maharashtra Pune