JOB DESCRIPTION
POSITION: Databricks Administrator - AWS
DURATION: Long term
Location: Austin, TX
Additional job details and special considerations
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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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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