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DATABRICKS ADMINISTRATOR, AUSTIN, TX (HYBRID)

Contract: 6 Months (3 Yrs Ext)

Deadline: 4/9/26

Job Description:

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.

Required Skills:

  • 8 Yrs of Experience administering Databricks workspaces in a cloud environment - AWS

  • 8 Yrs of Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.

  • 8 Yrs of Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).

  • 8 Yrs of Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.

  • 8 Yrs of Experience integrating Databricks with cloud storage services (e.g., S3,)

  • 8 Yrs of Experience implementing and enforcing cluster policies and workspace governance standards.

  • 8 Yrs of Familiarity with Databricks SQL, notebooks, and job orchestration.

  • 8 Yrs of Experience monitoring platform health, performance, and availability.

  • 8 Yrs of Understanding of data security, encryption, and compliance requirements.

  • 8 Yrs of Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).

Preferred Skills:

  • 4 Yrs of Experience administering Databricks in an enterprise or government environment.

  • 4 Yrs of Experience with Databricks Unity Catalog for data governance and access control.

  • 4 Yrs of Knowledge of cost management and optimization for Databricks workloads.

  • 4 Yrs of Experience supporting AI/ML workloads using Databricks ML and MLflow.

  • 4 Yrs of Familiarity with data lake and lakehouse architectures.

  • 4 Yrs of Knowledge of Python, SQL, or Scala for administration and troubleshooting.

Kavitha K