What are the responsibilities and job description for the Databricks Admin - Hybrid - Candidate must be local to Austin TX position at Global Force USA?

JOB DESCRIPTION/MINIMUM REQUIREMENTS:

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.

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years	Required/Preferred	Experience
8	Required	Experience administering Databricks workspaces in a cloud environment - AWS
8	Required	Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
8	Required	Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
8	Required	Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
8	Required	Experience integrating Databricks with cloud storage services (e.g., S3,)
8	Required	Experience implementing and enforcing cluster policies and workspace governance standards.
8	Required	Familiarity with Databricks SQL, notebooks, and job orchestration.
8	Required	Experience monitoring platform health, performance, and availability.
8	Required	Understanding of data security, encryption, and compliance requirements.
8	Required	Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).
4	Preferred	Experience administering Databricks in an enterprise or government environment.
4	Preferred	Experience with Databricks Unity Catalog for data governance and access control.
4	Preferred	Knowledge of cost management and optimization for Databricks workloads.
4	Preferred	Experience supporting AI/ML workloads using Databricks ML and MLflow.
4	Preferred	Familiarity with data lake and lakehouse architectures.
4	Preferred	Knowledge of Python, SQL, or Scala for administration and troubleshooting.

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