Data Architect
- Compensation
- Not disclosed
- Location
- Quantico, VA, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 10+ years
- Category
- Architecture
- Posted
Skills
Must have
- Active Top Secret (TS) clearance Eligible for Sensitive Compartmented Information (SCI) access
- Ability to obtain SCI adjudication within six (6) months
Nice to have
- Experience with AWS and Microsoft Azure data services
- Familiarity with DoW and DON data strategies
- Experience supporting machine learning and analytics platforms
- Knowledge of Zero Trust data access principles
- Experience developing data governance policies and enterprise data standards
- Strong documentation, briefing, and stakeholder communication skills
Full description
Overview
AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Engineering & Analysis, and Training.
The Data Architect will provide enterprise-level data architecture, governance, and integration support to the Naval Criminal Investigative Service (NCIS) Digital Business Directorate (DBD). This role is critical to enabling NCIS’s law enforcement, counterterrorism, and counterintelligence missions by designing, implementing, and maintaining secure, scalable, and interoperable data architectures across classified and unclassified environments.
The Data Architect will support NCIS’s transition from on‑premises systems to a Department of the Navy–approved virtual private cloud environment hosted on Flank Speed Microsoft Azure, while ensuring compliance with Department of War (DoW).
Responsibilities
As a Data Architect with AMERICAN SYSTEMS, you will have the opportunity to do the following:
- Design, implement, and maintain enterprise data architectures that support NCIS investigative, intelligence, and operational missions.
- Develop and manage conceptual, logical, and physical data models to support structured, semi-structured, and unstructured data.
- Establish and enforce data standards, naming conventions, and interoperability frameworks, including NIEM Open.
- Architect cloud-native and hybrid data solutions supporting on‑premises and DON virtual private cloud environments.
- Implement and maintain data governance frameworks, including data stewardship, metadata management, and data quality controls.
- Ensure compliance with CJIS, NIST, FISMA, FedRAMP, Privacy Act, CUI, and DoD/DON data policies.
- Design secure data access controls using least privilege principles, encryption, masking, and data loss prevention mechanisms.
- Support data integration strategies, including data lakes, data warehouses, federation, and real-time data exchange solutions.
- Maintain an enterprise data catalog to improve data discoverability, transparency,
- and governance.
- Collaborate with data engineering and analytics teams to ensure architectures support machine learning, analytics, and reporting.
- Optimize data platform performance through indexing, partitioning, query optimization, and scalable cloud architectures.