Databricks Administrator

Hybrid in Austin, TX, US • Posted 14 hours ago • Updated 14 hours ago
Contract W2
Contract Independent
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Administering Databricks workspaces in a AWS cloud environment
  • Databricks cluster configuration/ job scheduling/ workspace management.
  • Managing user access/ roles/ permissions using IAM/ SCIM/ RBAC)
  • Apache Spark performance tuning and troubleshooting
  • Databricks SQL/ notebooks/ job orchestration
  • Data security/ encryption/ compliance requirements
  • DevOps or automation tools (Terraform CI/CD pipelines/ scripting)
  • Databricks Unity Catalog for data governance and access control
  • Databricks ML and MLflow
  • Python/ Scala

Summary

DirectClient: Texas Health and Human Services Commission(HHSC)
Solicitation Number: 529601692
Title: Databricks Administrator
Location: 4601 W Guadalupe St, Austin, TX 78751
Duration: Until 8/31/2026 with possible extension
Last date for submission: April 9, 2026 (2.00 PM-CST)

Important Note: Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite. In-person interview mandatory.

DESCRIPTION OF SERVICES:
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.

CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10283077
  • Position Id: 529601692
  • Posted 14 hours ago
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