Platform and Databricks DevOps Engineer

Booz Allen Hamilton • McLean, VA

6d

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. citizen ship is required .

Requirements

• 3+ years of experience in Databricks administration, cloud platform operations, data platform engineering, or DevOps or infrastructure roles
• 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
• Experience scripting or automation in platforms such as Python or Bash for administrative tasks
• Experience with cloud platforms, such as AWS or GCP, including storage, such as ADLS or S3, networking, IAM, and security configurations
• Knowledge of Terraform or IaC tools, REST APIs, and monitoring and observability concepts
• 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

Nice To Haves

• Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, or Jenkins
• Experience with Azure a plus
• Experience with creating and improving continuous automation across multiple technical stacks
• Experience with creating and improving continuous deployment tools built on Kubernetes
• Experience triaging and resolving issues related to both open source and commer cia l tools in public cloud environments
• Possession of strong problem-solving, analytical, and communication skills
• Master’s degree

Responsibilities

• Managing 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
• Overseeing identity and access management — provisioning users, groups, and service principals via SCIM, assigning roles and entitlements, managing workspace assignments, and enforcing least-privilege access
• Implementing and governing Unity Catalog met astores, catalogs, schemas, tags, lineage, sharing, and fine-grained access controls to ensure data security, compliance, and discoverability across workspaces
• Administering compute resources —managing cluster policies , instance pools, job clusters, serverless options, Photon engine usage, and resource limits to standardize environments and control costs
• Owning 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 capab ilities
• Designing and maintaining automation for notebooks, clusters including serverless and Photon-optimized, Delta Live Tables pipelines, Workflows and jobs, and Delta Lake configurations
• Monitoring platform health, performance, and costs — accessing audit logs, billable usage dashboards, system tables, and operational met rics, setting budget alerts, and optimizing spending
• Enforcing security and compliance best practices, including encryption, private networking, IP access lists, credential management, and alignment with FedRAMP and DoD standards
• Automating administrative tasks using Databricks REST APIs, Terraform Databricks Provider, Asset Bundles, scripting, including Python or Bash, and CI / CD integrations for repeatable, auditable operations
• Troubleshooting complex issues, performing root-cause analysis, maintaining disa ster recovery and backup strategies, and providing Tier-3 support to users, data engineers, and platform teams
• Mentoring junior administrators, c ond ucting platform reviews, documenting procedures, and staying current with Databricks features such as Lakeflow or enhanced governance, to evolve client environments

Benefits

• At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
• We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
• Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
• The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
• The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees