Data Architect, Senior

Booz Allen Hamilton; Tampa (FL); On-site; USD 87,000 - 198,000; Full time

Job summary

Booz Allen Hamilton seeks a Senior Data Architect to own the enterprise data model, governance, and architecture for analytics and reporting across clients. You’ll lead data maturity assessments, build scalable data solutions in Python/SQL, and ensure asset discoverability and trustworthy data across teams.

The role emphasizes hands-on design, stakeholder collaboration, and leadership in a fast-paced, agile environment supporting DoD clients. TS clearance is a plus and not required at hire.

Qualifications

• 5+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models
• Experience with SQL, 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 in establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies
• 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 model unfamiliar customer data environments and deliver practical architecture roadmaps
• Bachelor's degree and ability to obtain a Top Secret clearance

Responsibilities

• Own the enterprise data model, ensuring production data assets are modeled, documented, and governed
• Design and enforce data governance standards including naming conventions and access policies
• Define and maintain the data catalog so teams know what data exists and how to use it
• Lead data quality monitoring and remediation within service levels
• Lead client data maturity assessments end to end, including evaluating data systems and delivering actionable roadmaps
• Communicate architecture findings to clients and coordinate with teams to execute
• Support cross-functional squads by validating data model decisions and governance compliance
• Design and build data solutions using Python and SQL

Skills

Data modeling

Governance

SQL

Python

Project management

Critical thinking

Top Secret clearance

Education

Bachelor's degree

Tools

AWS data services (S3/Glue/Redshift/Athena/Lake Formation)

ETL/ELT pipelines

Data catalogs / lineage tools

Job description

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 DoW clients. As a Data Architect, you’ll be the go‑to expert for data modeling, governance, and architecture across stakeholders, making sure every data asset we build is well‑modeled, documented, discoverable, and trustworthy. You set the standards, and you help the team hold to them from design through deployment. This is a hands‑on technical role. Our architecture, pipelines, and tooling are built on modern Python frameworks. You’ll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on every day. The role also carries meaningful project leadership and client‑facing responsibility. You’ll lead client data maturity assessments from start to finish, scoping the engagement against the statement of work, evaluating client data systems, modeling their current‑state architecture, and delivering actionable recommendations and roadmaps on schedule. You’ll work in a fast‑paced, agile environment where deliverables are requirements‑driven and schedule‑bound, partnering closely with team leads, engineers, analysts, and stakeholders to maintain high quality and timeliness of deliverables.

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.

Join us. The world can’t wait.

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, 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 in assisting with establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies
• 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 Top Secret clearance Bachelor's degree

Nice If You Have

• Experience designing and governing data architectures in AWS‑based environments
• Experience with AWS data services such as S3, Glue, Redshift, Athena, or Lake Formation
• Experience with ETL and ELT processes and modern data pipeline architectures
• 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 mentoring engineers or analysts on data modeling and governance practices
• Knowledge of AI and 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

Compensation

• 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 $86,800.00 to $198,000.00 (annualized USD). 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

• 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.

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.

Know Your Rights Poster Accommodations

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

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About Booz Allen

Booz Allen is an advanced technology company. We build commercial‑grade products and solutions for America’s most critical defense, civil, and national security priorities.