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Platform and Databricks DevOps Engineer

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. citizenship 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 SystemforCross-domainIdentityManagement (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.

Join us. The world can't wait.

You Have:

• 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 If You Have:

• 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

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

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. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.