What are the responsibilities and job description for the Databricks Administrator--Texas position at Jobs via Dice?
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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.
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.