Job Details
Databricks Administrator (Hybrid)
2026-04-06 Serigor all cities,AK
Description:
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.
Job Title: Databricks Administrator (Hybrid)
Location: Austin, TX
Duration: 03 Months with possible extension
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.
- 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
- Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports.
- Writes detailed description of user needs, program functions, and steps required to develop or modify computer Program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
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.