Enterprise Data Architect

Booz Allen Hamilton•Alexandria, VA

3d•$86,800 - $198,000•Onsite

About The Position

Define and own the enterprise data architecture vision, roadmap, and standards in alignment with long-term business goals. Lead Enterprise Data Model strategy and Operational Data Store design, and 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 a phased migration from legacy Sybase to a modern AWS microservices architecture, potentially using PostgreSQL Aurora, DMS, or Lambda, including live system synchronization strategies. Evaluate and adopt emerging technologies that advance the data architecture practice, and communicate architecture decisions clearly to technical and business audiences. The role may supervise other architects and technical staff. The position is located in Alexandria, Virginia, and is listed as not remote. Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The role 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 such as ERStudio, ERWIN, or PowerDesigner.
Experience executing phased migrations with live system synchronization and designing and implementing synchronization strategies across heterogeneous systems, including interim synchronization 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, or 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 to long-term business goals.
Lead Enterprise Data Model strategy and Operational Data Store design.
Establish data governance processes, modeling standards, and data quality procedures.
Enforce integration standards, documentation, and best practices as the in-house data authority.
Lead a 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 to technical and business audiences.
May supervise other architects and technical staff.