Platform and Databricks DevOps Engineer

Booz Allen Hamilton•McLean, VA

5d•$77,600 - $176,000•Onsite

About The Position

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. citizenship is required.

Requirements

3+ years of experience in Databricks administration
Experience with cloud platform operations, data platform engineering, or DevOps or infrastructure roles
Experience with Terraform or IaC tools, REST APIs, and monitoring and observability concepts
Experience with scripting or automation in platforms, such as Python or Bash, for administrative tasks
Experience with cloud using AWS, GCP, or Azure
Ability to collaborate with technical teams and stakeholders
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree
Cloud Certification

Nice To Haves

Experience administering Databricks such as account console, workspace settings, Unity Catalog, and compute or cluster management
Experience with identity federation, including SCIM provisioning, role-based access control, and governance in cloud data platforms using AWS or GCP
Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, or Jenkins
Experience with Azure
Experience creating and improving continuous automation across multiple technical stacks
Experience creating and improving continuous deployment tools built on Kubernetes
Experience triaging and resolving issues related to both open-source and commercial tools in public cloud environments
Possession of strong problem-solving, analytical, and communication skills
Master’s degree

Responsibilities

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 metastores, 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 capabilities.
Design and maintain automation for notebooks, clusters such as serverless and Photon-optimized, Delta Live Tables pipelines, workflows and jobs, and Delta Lake configurations.
Monitor platform health, performance, and costs, accessing audit logs, billable usage dashboards, system tables, and operational metrics, setting budget alerts, and optimizing spending.
Enforce security and compliance best practices, including encryption, private networking, IP access lists, credential management, and alignment with FedRAMP and DoD standards.
Automate administrative tasks using Databricks REST APIs, Terraform Databricks Provider, Asset Bundles, scripting, including Python or Bash, and CI/CD integrations for repeatable, auditable operations.
Troubleshoot complex issues, perform root-cause analysis, maintain disaster recovery and backup strategies, and provide Tier-3 support to users, data engineers, and platform teams.
Mentor junior administrators, conduct platform reviews, document procedures, and stay current with Databricks features such as Lakeflow or enhanced governance, to evolve client environments.