What are the responsibilities and job description for the Databricks Admin - Hybrid - Candidate must be local to Austin TX position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Global Force USA, is seeking the following. Apply via Dice today!
JOB DESCRIPTION/MINIMUM REQUIREMENTS:
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.
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 DESCRIPTION/MINIMUM REQUIREMENTS:
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.
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.