Databricks DBA – Azure Lakehouse & Data Platform Lead

Curana Health; Idaho; On-site; USD 120,000 - 180,000; Full time

Job summary

Curana Health is seeking a seasoned DBA to lead our migration from SQL Server to Databricks as part of modernizing our data platform. You will administer Databricks workspaces, configure clusters, implement Lakehouse patterns, RBAC, and security controls across Azure resources.

The role collaborates with Data Engineering, Analytics, AI/ML, and Data Science teams, ensuring reliable, compliant data services in a healthcare environment.

Qualifications

• 5+ years of experience administering enterprise data platforms.
• 3+ years of hands-on Databricks administration experience.
• Experience with Azure Databricks, Unity Catalog, Delta Lake, ADLS, Entra ID, Azure Networking.
• Experience implementing RBAC, security policies, and governance controls.
• Bachelor’s degree from an accredited college or university or equivalent experience.

Responsibilities

• Modernize the data warehouse environment by migrating the platform to Azure Databricks.
• Administer and maintain Databricks workspaces across development, test, and production environments.
• Configure and manage clusters, cluster policies, instance pools, SQL Warehouses, and job scheduling.
• Monitor platform utilization, performance, and capacity planning.
• Implement and maintain RBAC, Unity Catalog, workspace permissions, and data access controls.
• Develop Infrastructure as Code (IaC) solutions using Terraform and CI/CD pipelines.

Skills

Databricks administration

Azure Databricks

Python

SQL

Terraform

Infrastructure as Code

Security governance

Monitoring & troubleshooting

Education

Bachelor’s degree in a related field

Tools

Unity Catalog

Delta Lake

ADLS

Azure Key Vault

Azure Monitor

Job description

Curana Health is seeking a seasoned DBA to lead our migration from SQL Server to Databricks as part of modernizing our data platform. You will administer Databricks workspaces, configure clusters, implement Lakehouse patterns, RBAC, and security controls across Azure resources.

The role collaborates with Data Engineering, Analytics, AI/ML, and Data Science teams, ensuring reliable, compliant data services in a healthcare environment.