Databricks Administrator

The Databricks Administrator is responsible for administering, configuring, and supporting the Databricks platform to enable scalable data engineering, analytics, and AI/ML workloads. This role ensures platform reliability, security, cost optimization, and compliance while supporting data engineers, analysts, and data scientists across the organization. The administrator will manage workspace configuration, cluster policies, user access, integrations with cloud services, and ongoing platform monitoring to support enterprise data and analytics initiatives.Need 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system.Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports.Writes detailed description of user needs, program functions, and steps required to develop or modify computer program.Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.Candidate Skills and Qualifications:YearsRequired/PreferredExperience8RequiredExperience administering Databricks workspaces in a cloud environment - AWS8RequiredStrong understanding of Databricks cluster configuration, job scheduling, and workspace management.8RequiredExperience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).8RequiredProficiency with Apache Spark concepts, including performance tuning and troubleshooting.8RequiredExperience integrating Databricks with cloud storage services (e.g., S3,)8RequiredExperience implementing and enforcing cluster policies and workspace governance standards.8RequiredFamiliarity with Databricks SQL, notebooks, and job orchestration.8RequiredExperience monitoring platform health, performance, and availability.8RequiredUnderstanding of data security, encryption, and compliance requirements.8RequiredExperience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).4PreferredExperience administering Databricks in an enterprise or government environment.4PreferredExperience with Databricks Unity Catalog for data governance and access control.4PreferredKnowledge of cost management and optimization for Databricks workloads.4PreferredExperience supporting AI/ML workloads using Databricks ML and MLflow.4PreferredFamiliarity with data lake and lakehouse architectures.4PreferredKnowledge of Python, SQL, or Scala for administration and troubleshooting.Thanks & Regards,Ravali