Data Architect

Role Overview

• DecisionPoint seeks a Data Architect to lead the design, governance, and validation of enterprise data architectures for a Department of Defense (DoD) modernization program supporting Casualty and Mortuary Affairs (CMA) operations across all Service components.
• The Data Architect will define and maintain logical and physical data models across Impact Level (IL) 2, 4, and 5 environments, ensuring high availability, data integrity, and secure data exchange within a cloud-hosted ecosystem.
• The Data Architect will work closely with system engineers, database administrators, and developers to standardize schemas, improve data quality, and align data governance with DoD enterprise architecture standards.

Requirements

• Develop and refine conceptual, logical, and physical data models that support cloud-hosted information systems operating in IL2, IL4, and IL5 environments.
• Design and document data schemas, entity relationships, and data flow diagrams in accordance with DoD and Defense Information Systems Agency (DISA) standards.
• Collaborate with technical teams to ensure data models align with mission workflows, integration requirements, and information assurance policies.
• Implement and maintain data integrity rules, referential constraints, and validation processes across test, pre-production, and production environments.
• Develop data architecture documentation and metadata repositories, including data dictionaries, mapping specifications, and lineage tracking.
• Support data migration and transformation from legacy systems, ensuring source-to-target mapping accuracy and reconciliation.
• Participate in architecture design reviews, identifying performance optimization and scalability opportunities.
• Align database structures with security and compliance mandates such as DoD Cybersecurity Policy Chart, DoD Architecture Framework (DoDAF), and DISA Cloud Computing Security Requirements Guide (CC SRG).
• Conduct post-deployment validation and testing to confirm data accuracy and structural consistency across environments.
• Lead efforts to implement and manage data lakes, warehouses, and API-based data services that support analytics, reporting, and inter-Service data sharing.
• Collaborate with cybersecurity and network teams to ensure data architectures support Zero Trust and data encryption policies.
• Provide technical mentorship to database administrators and developers on best practices for performance tuning, data normalization, and cloud database management.

Tech Stack

• Cloud
• Cyber Security

Benefits

• Must hold an active Secret clearance.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Minimum 7 years of experience in data architecture, database design, or data engineering within large-scale federal or defense environments.
• Experience supporting cloud-hosted systems and data models across multi-level (IL2–IL5) environments in AWS GovCloud or equivalent.
• Expertise in logical and physical data modeling, schema optimization, and metadata management.
• Hands-on experience with AWS RDS, Aurora, or PostgreSQL, and familiarity with data warehousing and ETL design.
• Understanding of data governance frameworks, data quality assurance, and data lifecycle management.
• Knowledge of DoD and DISA standards, including DoDAF, CC SRG, and STIGs for database security and compliance.
• Familiarity with API-driven data exchange, data lake architectures, and BI/reporting systems.
• Strong analytical and conceptual thinking skills.
• Exceptional attention to detail in data validation and model integrity.
• Ability to document complex architectures clearly and concisely.
• Effective collaboration across multidisciplinary technical teams.
• Commitment to innovation, data quality, and mission accuracy.