Enterprise Data Architect

Booz Allen Hamilton•Alexandria, VA
•$86,800 - $198,000

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. 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, and develop live system synchronization strategies. Evaluate and adopt emerging technologies that advance the data architecture practice. Communicate architecture decisions to technical and business audiences. The role 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. The projected annualized compensation range is $86,800 to $198,000 USD. Salary is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. This posting will close within 90 days from the Posting Date. The posting does not specify whether the position is remote, hybrid, or onsite. Its Work Model section describes expectations for each model and notes that remote employees may occasionally need to work at a Booz Allen or customer facility; hybrid employees are expected to work at a Booz Allen or customer facility in alignment with leadership expectations and role needs; and onsite employees primarily work full-time at a customer facility. As part of hiring, candidates complete identity verification using biometrics and artificial intelligence and are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

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 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 or Confluence.
  • Experience in a senior-level role in one or more of these disciplines: 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 phased migration from legacy Sybase to a modern AWS microservices architecture.
  • Design live system synchronization strategies, including synchronization across systems during active migrations.
  • 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.

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 superior demonstration of company values.
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