Databricks DevOps/MLOps Engineer: Secure Access & Infra

Camden Copper/Metis Endeavor; Camden (SC); Remote; USD 120,000 - 180,000; Full time

Job summary

Principal Mineral is seeking a DevOps/MLOps Engineer to own and secure the Databricks platform, including access control, CI/CD pipelines, and cost-efficient infrastructure. You will implement auditable policies, automate permissions, and collaborate with data and ML engineers to accelerate delivery while maintaining compliance.

The role emphasizes platform administration, infrastructure as code, and MLOps practices, with a focus on secure, repeatable deployments and integration with enterprise

Qualifications

• 4+ years in DevOps, platform engineering, data platform admin, or MLOps.
• Hands-on Databricks administration experience, including Unity Catalog permissions.
• IaC (Terraform or equivalent) and CI/CD (GitHub Actions or equivalent).
• Working knowledge of a major cloud (Azure or AWS), networking fundamentals, and identity integration (SSO, SCIM, service principals).
• Strong Python and SQL scripting skills.
• U.S.-based and able to work with government contract data.

Responsibilities

• Administer Databricks workspaces, Unity Catalog, clusters, SQL warehouses, and service principals.
• Translate access rules into table-, column-, and row-level controls and manage them as code.
• Integrate Databricks with enterprise identity providers using SSO, SCIM, and conditional access.
• Perform periodic access reviews and provide audit evidence for assessments.

Skills

Python

SQL

Databricks

Terraform

CI/CD

Cloud (Azure/AWS)

Linux

Tools

GitHub Actions

Databricks

MLflow

Job description

Principal Mineral is seeking a DevOps/MLOps Engineer to own and secure the Databricks platform, including access control, CI/CD pipelines, and cost-efficient infrastructure. You will implement auditable policies, automate permissions, and collaborate with data and ML engineers to accelerate delivery while maintaining compliance.

The role emphasizes platform administration, infrastructure as code, and MLOps practices, with a focus on secure, repeatable deployments and integration with enterprise