Databricks Administrator

Job Title: Databricks Administrator
Location: Austin TX

Work Type: Hybrid

Employment Type: Contract (C2C)

Duration: 4 Months
Interview Mode: In-person Only

About the Role:

We are seeking a Databricks Administrator to manage configure and support the Databricks platform in a cloud environment (AWS). This role focuses on ensuring platform reliability security governance and cost optimization while enabling scalable data engineering analytics and AI/ML workloads.

This role is ideal for experienced Databricks administrators with strong AWS Spark and governance expertise looking to support large-scale data and analytics platforms in a regulated environment.

Key Responsibilities:

• Administer and manage Databricks workspaces in AWS cloud environments
  
• Configure and manage clusters job scheduling and workspace settings
  
• Implement and maintain RBAC IAM and SCIM-based access controls
  
• Enforce cluster policies and governance standards
  
• Monitor platform performance health and availability
  
• Integrate Databricks with cloud storage services (e.g. S3)
  
• Optimize Spark workloads and performance tuning
  
• Support data engineers analysts and data scientists
  
• Ensure data security encryption and compliance requirements
  
• Automate processes using Terraform CI/CD pipelines and scripting
  
• Support notebooks Databricks SQL and job orchestration workflows
  

Required Skills:

• 8 years of experience administering Databricks in AWS environments
  
• Strong expertise in:
  
• Cluster configuration and workspace management
  
• Job scheduling and orchestration
  
• 8 years of hands-on experience with:
  
• IAM SCIM RBAC
  
• Apache Spark (performance tuning & troubleshooting)
  
• Experience integrating with AWS S3 and cloud storage
  
• Strong knowledge of:
  
• Platform monitoring and performance optimization
  
• Data security encryption and compliance
  
• Experience with DevOps/automation tools (Terraform CI/CD scripting)
  
• Familiarity with Databricks SQL notebooks and workflows
  

Preferred Skills:

• Experience in enterprise or government environments
  
• Hands-on with Unity Catalog (data governance)
  
• Knowledge of cost optimization strategies for Databricks
  
• Experience supporting AI/ML workloads (Databricks ML MLflow)
  
• Understanding of data lake / lakehouse architectures
  
• Knowledge of Python SQL or Scala