Data Architect, Senior

The Opportunity:

As organizations increasingly depend on cloud platforms, analytics, and AI/ML to drive mission outcomes, the integrity of the data foundation underneath them has never mattered more. We are looking for a Data Architect to own the design, governance, and continued evolution of the enterprise data architecture that powers analytics, reporting, and operational insight across our organization and for our DoD clients.

What You'll Work On:

• Own the enterprise data model, ensuring all production data assets are properly modeled, documented, and governed, with complete schemas and lineage.
• Design and enforce data governance standards, including assisting with naming conventions, quality controls, access policies, and metadata management, and hold the deployment gate so new assets meet standards before reaching production.
• Define and maintain the data catalog so every team knows what data exists, where it lives, and how to use it.
• Lead data quality monitoring, including owning the rules, thresholds, and remediation process, and driving issues to resolution within defined service levels.
• Support new client intake by engaging with prospective and new customers to understand their data environment, coordinating with squad leads and analysts on what's feasible, and applying critical thinking to model and design data solutions tailored to each customer's needs.
• Lead client-facing data maturity assessments end to end, including plan and manage the engagement timeline, evaluate client data systems, score maturity, and deliver recommendations and actionable roadmaps.
• Communicate clearly in both directions, including presenting architecture findings and recommendations to clients, and coordinating across the team so engineers and analysts have what they need to execute.
• Support cross-functional mission teams by validating data model decisions, reviewing architecture choices, and ensuring governance compliance.
• Design and build data solutions using Python and SQL.
• Evaluate and recommend data tools, storage strategies, and architectural patterns as the team scales, delivering recommendations with cost or benefit analysis.
• Participate in quarterly technical debt reviews and security and compliance audits, helping ensure architecture health and DoD compliance requirements are met.

You Have:

• 5+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models
• Experience with SQL and database, including data modeling, such as dimensional modeling, normalization, or schema design, query optimization, and working with relational databases and cloud data platforms
• Experience with Python data frameworks for data processing, transformation, and automation
• Experience designing and governing data architectures in AWS-based environments
• Experience in assisting with establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies
• Experience with ETL and ELT processes and modern data pipeline architectures
• Experience with project management, including planning and delivering schedule-bound technical engagements or assessments against a statement of work or charter
• Ability to use critical thinking and solution-design to take an unfamiliar customer data environment, model it, and shape a practical architecture and roadmap
• Ability to obtain a Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience supporting DoD test & evaluation (T&E) programs or similar requirements-driven delivery environments
• Experience with AWS data services such as S3, Glue, Redshift, Athena, or Lake Formation
• Experience conducting data maturity, readiness, or current-state architecture assessments for external clients
• Experience with data governance and catalog tooling, including data catalogs, lineage tools, or metadata management platforms
• Experience with data warehouse or lakehouse architectures and orchestration or transformation frameworks such as Airflow or dbt
• Experience mentoring engineers or analysts on data modeling and governance practices
• Knowledge of AI/ML workflows and the data architecture patterns that support them
• Possession of strong client-facing communication skills, to engage new customers, present findings and recommendations to senior technical and non-technical stakeholders, and coordinate across internal teams
• Top Secret clearance

Career Development:

We offer a variety of career development opportunities, including tuition assistance, work-life programs, and recognition awards.

Compensation:

The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).

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:

• 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.