Jobs → Data & Analytics → Databricks Administrator

About the Role We are actively hiring a Databricks Administrator to manage, configure, secure, and optimize enterprise Databricks environments for large-scale data engineering, analytics, and AI/ML workloads. Key Responsibilities • Administer and maintain Databricks workspaces, compute resources, clusters, jobs, and workspace configurations • Configure workspace settings, access permissions, cluster policies, service principals, and user provisioning • Implement Unity Catalog, role-based access controls, data permissions, auditing, and secure access to enterprise data • Manage integrations with cloud storage, identity providers, networking, secret management, and cloud security services • Monitor compute utilization, optimize cluster configurations, implement autoscaling, and control platform costs • Diagnose Spark job failures, cluster startup issues, slow queries, pipeline failures, and resource bottlenecks • Automate administrative tasks using Python, Databricks CLI, REST APIs, and Terraform • Configure scheduled jobs, workflows, alerts, dependencies, and failure-recovery mechanisms • Support development, testing, and production deployments using Git-based workflows and CI/CD pipelines Requirements • Strictly 8+ years of experience with Databricks administration and engineering • Strong knowledge of Apache Spark, PySpark, Delta Lake, and Lakehouse Architecture • Experience with ETL/ELT pipelines and data engineering concepts • Expertise in Unity Catalog, RBAC, access control, and data governance • Experience with Microsoft Azure Databricks, AWS Databricks, or Databricks on Google Cloud • Familiarity with Azure Data Lake Storage (ADLS), AWS S3, IAM, and Azure Key Vault • Proficiency in Python, Databricks CLI, REST APIs, and Terraform • Experience with Git-based workflows and CI/CD pipelines