What are the responsibilities and job description for the Databricks Administrator || Austin,Texas- Must be Local position at Jobs via Dice?
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Austin, Texas- Must be Local
Interview: In person Only (No exception)
Job Discription: 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.
Required Skills:
8 Years of Experience administering Databricks workspaces in a cloud environment - AWS
8 Years of Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
8 Years of Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
8 Years of Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
8 Years of Experience integrating Databricks with cloud storage services (e.g., S3,)
8 Years of Experience implementing and enforcing cluster policies and workspace governance standards.
8 Years of Familiarity with Databricks SQL, notebooks, and job orchestration.
8 Years of Experience monitoring platform health, performance, and availability.
8 Years of Understanding of data security, encryption, and compliance requirements.
8 Years of Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).
Preferred Skills:
4 Years of Experience administering Databricks in an enterprise or government environment.
4 Years of Experience with Databricks Unity Catalog for data governance and access control.
4 Years of Knowledge of cost management and optimization for Databricks workloads.
4 Years of Experience supporting AI/ML workloads using Databricks ML and MLflow.
4 Years of Familiarity with data lake and lakehouse architectures.
4 Years of Knowledge of Python, SQL, or Scala for administration and troubleshooting.
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Austin, Texas- Must be Local
Interview: In person Only (No exception)
Job Discription: 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.
Required Skills:
8 Years of Experience administering Databricks workspaces in a cloud environment - AWS
8 Years of Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
8 Years of Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
8 Years of Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
8 Years of Experience integrating Databricks with cloud storage services (e.g., S3,)
8 Years of Experience implementing and enforcing cluster policies and workspace governance standards.
8 Years of Familiarity with Databricks SQL, notebooks, and job orchestration.
8 Years of Experience monitoring platform health, performance, and availability.
8 Years of Understanding of data security, encryption, and compliance requirements.
8 Years of Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).
Preferred Skills:
4 Years of Experience administering Databricks in an enterprise or government environment.
4 Years of Experience with Databricks Unity Catalog for data governance and access control.
4 Years of Knowledge of cost management and optimization for Databricks workloads.
4 Years of Experience supporting AI/ML workloads using Databricks ML and MLflow.
4 Years of Familiarity with data lake and lakehouse architectures.
4 Years of Knowledge of Python, SQL, or Scala for administration and troubleshooting.
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