Databricks Administrator (Hybrid)

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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/M...

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.