Data Architect

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 Program Mission Support Engineering & Analysis and Training.

The Data Architect will provide enterprise-level data architecture governance andintegration support to the Naval Criminal Investigative Service (NCIS) Digital BusinessDirectorate (DBD). This role is critical to enabling NCISs law enforcementcounterterrorism and counterintelligence missions by designing implementing andmaintaining secure scalable and interoperable data architectures across classified andunclassified environments.

The Data Architect will support NCISs transition from onpremises systems to aDepartment of the Navyapproved virtual private cloud environment hosted on Flank Speed Microsoft Azure while ensuring compliance with Department of Defense (DoD).

As a Data Architect with AMERICAN SYSTEMS you will have the opportunity to do the following:

• Design implement andmaintainenterprise data architecturesthat support NCISinvestigative intelligence and operational missions.

• Develop and manageconceptual logical and physical data modelsto supportstructured semi-structured and unstructured data.

• Establish and enforcedata standards naming conventions and interoperabilityframeworks includingNIEM Open.

• Architectcloud-native and hybrid data solutionssupporting onpremisesand DONvirtual private cloud environments.

• Implement andmaintaindata governance frameworks includingdata stewardshipmetadata management and data quality controls.

• Ensure compliance withCJIS NIST FISMA FedRAMP Privacy Act CUI andDoD/DON data policies.

• Design secure data access controls usingleast privilege principles encryptionmasking and data loss prevention mechanisms.

• Supportdata integration strategies including data lakes data warehousesfederation and real-time data exchange solutions.

• Maintain anenterprise data catalogto improve data discoverability transparency

• and governance.

• Collaborate with data engineering and analytics teams to ensure architecturessupportmachine learning analytics and reporting.

• Optimizedata platform performance through indexing partitioning queryoptimization and scalable cloud architectures.

• Develop andmaintainarchitecture artifacts diagrams and technicaldocumentation.

• Support enterprise architecture initiatives and provide technical recommendations togovernment leadership.Department of the Navy (DON) Intelligence Community (IC) and Department of Justice(DoJ) data standards and security requirements.

• This positionoperateswithin secure facilities including Sensitive Compartmented

• Information Facilities (SCIFs) and requires close collaboration with governmentstakeholders data engineers data scientists cybersecurity personneland enterprisearchitects.

• Active Top Secret (TS) clearance Eligible for Sensitive Compartmented Information (SCI) access
• Ability to obtain SCI adjudication within six (6) months

Experience

• Minimum10 yearsof experience indata architecture data management orenterprise data engineering
• Proven experience designingenterprise-scale data architecturesin regulated orclassified environments
• Experience supportinglaw enforcement intelligence or DoD organizationsishighly preferred
• Hands-on experience withhybrid cloud and cloud-native architecturesmultiple operatingsystemsand containerization techniquespreferablyinMicrosoft Azure
• Experience integrating data across multiple systems agencies and security domainsTechnical Skills
• Data modeling (conceptual logical physical)
• Enterprise data architecture frameworks
• Data lakes data warehouses and hybrid data platforms
• Metadata management and data catalog solutions
• Data integration and federation strategies
• SQL and NoSQL database technologies
• Performance optimization techniques
• Data security encryption masking and access controls
• Familiarity withNIEM CJIS NIST and DoW data standards

Preferred Qualifications

• 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