The Opportunity:

For an organization to transform into today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for an experienced data architect like you to deliver leading-edge solutions for the DoW.

As a Data Architect on our team, you will be responsible for the full lifecycle of structured and unstructured data, transforming raw information into highly discoverable, governed, and usable assets. This role is critical for bridging data availability while maintaining strict compliance and security boundaries. You’ll use your extensive technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross-domain availability. You’ll create, design, and implement data architecture solutions in collaboration with business analysts and technology teams to support current and future DoW and United States Air Force systems.

In this role, you’ll grow your technical expertise, apply best practices and use tools like Apache NiFi, Airflow, Collibra, and Apache Atlas. You’ll guide your team as it designs, defines, develops, and tests cloud solution components, and you’ll serve as a liaison between our customers and developers to ensure that requirements are met and solutions are delivered.

With your drive to establish processes and lead technological innovation, you’ll make a lasting impact on the Air Force and its mission partners.

Join us. The world can’t wait. 

You Have: 

• 5 years of experience in data architecture or data engineering
• Experience managing both relational databases (SQL) and non-relational systems such as NoSQL, Vector DBs, or Object Storage
• Experience working with air-gapped systems, cross-domain solutions (CDS), or multi-level security (MLS) IT environments
• Experience with modern data pipeline tools and data cataloging platforms
• Ability to obtain a Secret clearance
• Bachelor’s degree in Computer Science, Data Science, or Information Technology

Nice If You Have: 

• Experience designing robust data frameworks to ingest, process, and store massive structured and unstructured datasets
• Experience cleaning, normalizing, and transforming raw data to ensure absolute quality, consistency, and readiness for analytics
• Experience with cloud-based secure infrastructure such as AWS, Azure, or Google
• Experience with automated metadata extraction and AI-driven data tagging
• Top Secret clearance
• Master’s degree in Computer Science, Data Science, or Information Technology
• AWS, Microsoft, or Google Data Engineering Certifications
• Certified Data Management Professional (CDMP) or The Open Group Architecture Framework (TOGAF)Certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.

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.