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BOOZ, ALLEN & HAMILTON, INC.

Data Architect, Lead

Charlottesville, VA, United States

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

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Job details

Pay: The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Working hours: 20 hours a week
Posting language: English
Posted: Nov 7, 2026

Original job description

Data Architect, Lead

The Opportunity:

For an organization to transform in 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 a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for the Army.

As a data architect on our Army Data Engineering team, you'll use your extensive technical expertise to lead the design of data architecture solutions for integrating data pipelines from numerous Army intelligence sources. You'll resolve complex data architecture-related issues in collaboration with business analysts and technology teams by analyzing data models and tools to provide a comprehensive view of available intelligence.

In this role, you'll share your technical expertise, introduce best practices, recommend, and use advanced tools for data warehousing, ETL processes, SQL, SSIS, and OLAP (Online Analytical Processing). You'll lead your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.

With your motivation to establish processes and facilitate technological innovation, you'll make a lasting impact on how the Army takes advantage of its intelligence sources.

Join us. The world can't wait.

You Have:

8+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models for secure DoW information management systems
8+ years of 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 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 and shape a practical architecture and roadmap
TS/SCI clearance
Bachelor's degree in a Data or IT field
Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date

Nice If You Have:

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 Data Build Tools (DBT)
Experience mentoring engineers or analysts on data modeling and governance practices
Experience with Agile development techniques and ceremonies
Experience with the Atlassian tool suite, including Jira and Confluence
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
Master's degree in a Data or IT field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $99,000.00 to $225,000.00 (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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More about this job

Skills

Data management
Data engineering
Collaboration
Data models
Data warehousing
SQL
SQL Server Integration Services
Online analytical processing
Data modelling
Python
Process data
AWS
Cataloging
Project management
Amazon Redshift
Data warehouse
Apache Airflow
Coaching
Agile development
Jira
Atlassian Confluence
ML
Communication skills

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