Data Architect, Senior at Booz Allen – Albuquerque | Jobyssey

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.

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 play a key part in new client intake, engaging directly with prospective and new customers to understand their data landscape, asking the right questions, and applying critical thinking to model their environment and shape data solutions that fit their mission. You'll also 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.
Participate in quarterly technical debt reviews and security and compliance audits, helping ensure architecture health and DoD compliance requirements are met.

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 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

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.

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). 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.

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