Databricks Administrator

Databricks Administrator

Posted Today by DataAffect

Negotiable
Undetermined
Remote
Remote

Summary: Responsible for end-to-end Databricks administration, including Unity Catalog governance, access management, and Databricks Genie (AI/ML) administration, integrated into day-to-day BAU operations.

Key Responsibilities:

  • Manage Databricks workspace, clusters, jobs, and performance
  • Administer Unity Catalog (data governance, permissions, lineage)
  • Handle access control, IAM integration, and security policies
  • Oversee Databricks Genie and ML lifecycle (MLflow, model governance)
  • Ensure data security, compliance, and auditing
  • Support users and embed best practices into BAU activities

Key Skills:

  • Strong Databricks admin experience
  • Unity Catalog and access management expertise
  • Knowledge of Spark, Delta Lake, and cloud platforms
  • Experience with MLflow and AI/ML governance
  • Scripting skills (Python/SQL/Bash)
  • Understanding of data security and compliance

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Databricks Administrator
Location: Remote
Duration: 6+months

Summary:
Responsible for end-to-end Databricks administration, including Unity Catalog governance, access management, and Databricks Genie (AI/ML) administration, integrated into day-to-day BAU operations.

Key Responsibilities:

  • Manage Databricks workspace, clusters, jobs, and performance
  • Administer Unity Catalog (data governance, permissions, lineage)
  • Handle access control, IAM integration, and security policies
  • Oversee Databricks Genie and ML lifecycle (MLflow, model governance)
  • Ensure data security, compliance, and auditing
  • Support users and embed best practices into BAU activities

Requirements:

  • Strong Databricks admin experience
  • Unity Catalog and access management expertise
  • Knowledge of Spark, Delta Lake, and cloud platforms
  • Experience with MLflow and AI/ML governance
  • Scripting skills (Python/SQL/Bash)
  • Understanding of data security and compliance