What are the responsibilities and job description for the Databricks Administrator position at Jobs via Dice?
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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.
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.YearsRequired/PreferredExperience8RequiredExperience administering Databricks workspaces in a cloud environment - AWS8RequiredStrong understanding of Databricks cluster configuration, job scheduling, and workspace management.8RequiredExperience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).8RequiredProficiency with Apache Spark concepts, including performance tuning and troubleshooting.8RequiredExperience integrating Databricks with cloud storage services (e.g., S3,)8RequiredExperience implementing and enforcing cluster policies and workspace governance standards.8RequiredFamiliarity with Databricks SQL, notebooks, and job orchestration.8RequiredExperience monitoring platform health, performance, and availability.8RequiredUnderstanding of data security, encryption, and compliance requirements.8RequiredExperience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).4PreferredExperience administering Databricks in an enterprise or government environment.4PreferredExperience with Databricks Unity Catalog for data governance and access control.4PreferredKnowledge of cost management and optimization for Databricks workloads.4PreferredExperience supporting AI/ML workloads using Databricks ML and MLflow.4PreferredFamiliarity with data lake and lakehouse architectures.4PreferredKnowledge of Python, SQL, or Scala for administration and troubleshooting.
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.
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.YearsRequired/PreferredExperience8RequiredExperience administering Databricks workspaces in a cloud environment - AWS8RequiredStrong understanding of Databricks cluster configuration, job scheduling, and workspace management.8RequiredExperience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).8RequiredProficiency with Apache Spark concepts, including performance tuning and troubleshooting.8RequiredExperience integrating Databricks with cloud storage services (e.g., S3,)8RequiredExperience implementing and enforcing cluster policies and workspace governance standards.8RequiredFamiliarity with Databricks SQL, notebooks, and job orchestration.8RequiredExperience monitoring platform health, performance, and availability.8RequiredUnderstanding of data security, encryption, and compliance requirements.8RequiredExperience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).4PreferredExperience administering Databricks in an enterprise or government environment.4PreferredExperience with Databricks Unity Catalog for data governance and access control.4PreferredKnowledge of cost management and optimization for Databricks workloads.4PreferredExperience supporting AI/ML workloads using Databricks ML and MLflow.4PreferredFamiliarity with data lake and lakehouse architectures.4PreferredKnowledge of Python, SQL, or Scala for administration and troubleshooting.