Platform and Databricks DevOps Engineer
Booz Allen Hamilton
McLean, VA, US
Onsite
2026-07-01
Announced salary
$77,600 - $176,000
Low
$70K
Median
$90K
High
$115K
Market in McLean · BLS OEWS 2024
Estimated net pay
$4,981 - $10,188
/month · 23% withheld
after tax & contributions · Single, no dependents
Job description
**The Opportunity** **:**
As a Databricks Platform DevOps Engineer at Booz Allen, you'll lead the design, automation, and reliable operation of Databricks Lakehouse environments that power mission\-critical analytics, AI, and data initiatives for defense, intelligence, and civil clients. You'll drive CI / CD maturity, infrastructure as code, platform governance, and operational excellence to deliver secure, scalable, and cost\-optimized Databricks platforms at enterprise scale.
Join a high\-impact team that accelerates national security outcomes through advanced DevOps practices on Databricks. Enable clients to achieve data and decision superiority by automating complex platform deployments, enforcing compliance, and continuously improving performance and reliability. Due to the nature of work performed within this facility, U.S. citizen ship is required .
**What You'll Do:**
* Manage account and workspace administration, including creating and managing workspaces, configuring settings, enabling features such as serverless compute or previews, and handling account\-level configurations via the account console.
* Oversee identity and access management, provisioning users, groups, and service principals via System for Cross\-domain Identity Management (SCIM), assigning roles and entitlements, managing workspace assignments, and enforcing least\-privilege access.
* Implement and govern Unity Catalog met astores, catalogs, schemas, tags, lineage, sharing, and fine\-grained access controls to ensure data security, compliance, and discoverability across workspaces.
* Administer compute resources, managing cluster policies , instance pools, job clusters, serverless options, Photon engine usage, and resource limits to standardize environments and control costs.
* Own infrastructure as code deployments such as Terraform and Databricks Terraform Provider, across multiple environments such as dev, test, staging, and production, with strong governance and rollback capabil