Enterprise Data Architect

Booz Allen Hamilton • Usa, VA

2d

About The Position

The Enterprise Data Architect defines and owns the enterprise data architecture vision, roadmap, and standards in alignment with long-term business goals. The role leads enterprise data model strategy and Operational Data Store design, establishes data governance processes, modeling standards, and data quality procedures, and serves as the organization’s in-house data authority by enforcing integration standards, documentation, and best practices.

The architect leads a phased migration from legacy Sybase to a modern AWS microservices architecture, potentially using PostgreSQL Aurora, DMS, or Lambda. This includes developing live system synchronization strategies and synchronization patterns across heterogeneous systems during active migrations. The role also evaluates emerging technologies, communicates architecture decisions to technical and business audiences, and may supervise other architects and technical staff.

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The position requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

Requirements

• At least 6 years of experience in data architecture, data modeling, and database design.
• Experience with Sybase or PostgreSQL.
• Experience with AWS, including Aurora, RDS, DMS, or Lambda.
• Experience with data modeling tools, including ERStudio, ERWIN, or PowerDesigner.
• Experience executing phased migrations with live system synchronization and designing and implementing data synchronization strategies across heterogeneous systems, including interim sync patterns during active migrations.
• Experience using AI-assisted development tools to support coding, code review, and problem-solving.
• Knowledge of microservices architecture.
• Ability to stay current on emerging technologies and apply them to new and existing systems.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• High school diploma or GED.

Nice To Haves

• At least 5 years of experience in an Agile or DevOps enterprise environment using Atlassian tools, including Jira and Confluence.
• Experience in a senior-level role in disciplines including Cloud Services and Solutions, Database Administration and Development, Analytical Sciences, Information Technology Governance, Information Security, Information Technology Resource Management, Business Case Development, Business Process Design, Strategic Planning, and Business Functions.
• Knowledge of SQL fundamentals.
• Bachelor’s degree in Computer Science or a related field preferred; a master’s degree in Computer Science or a related field is a plus.

Responsibilities

• Define and own the enterprise data architecture vision, roadmap, and standards, aligned with long-term business goals.
• Lead Enterprise Data Model strategy and Operational Data Store design.
• Establish data governance processes, modeling standards, and data quality procedures.
• Serve as the in-house data authority by enforcing integration standards, documentation, and best practices.
• Lead the phased migration from legacy Sybase to a modern AWS microservices architecture, including live system synchronization strategies.
• Evaluate and adopt emerging technologies that advance the data architecture practice.
• Communicate architecture decisions clearly to technical and business audiences.
• May supervise other architects and technical staff.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED