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ITC Federal · 1 month ago

Senior Data Modeler/Data Architect - NCIS - Active TS/SCI Clearance Required

Quantico, VA

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

ITC Federal provides advanced information technology and mission-support services to federal agencies. They are seeking a highly experienced Data Modeler/Data Architect to support the Naval Criminal Investigative Service (NCIS) in modernizing enterprise data architecture and enhancing data management for secure information sharing and analytics.

Information TechnologySecurity

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead the development and implementation of NCIS’ data architecture, ensuring alignment with enterprise strategy, business needs, and mission requirements

Define how data will be stored, consumed, integrated, and managed across applications, systems, and enclaves

Develop and maintain logical and physical data models, conceptual data frameworks, metadata structures, and data dictionaries

Provide enterprise-wide data modeling standards and ensure consistent application across systems and modernization initiatives

Support data governance, data quality, master data management (MDM), and metadata management efforts

Design structural data solutions and collaborate with database administrators, analysts, and developers to ensure seamless access to data

Create diagrams and architecture artifacts that show key data entities, relationships, and dependencies

Organize and structure data at both macro (enterprise) and micro (system-level) scales in support of operational and analytical use cases

Develop logical data models used by consuming applications and create business-rule-driven elements required for data quality enforcement

Provide architectural oversight for data integration, data movement, and interface design across distributed systems

Support system modernization, cloud migration, analytics initiatives, and enterprise data strategy execution

Maintain an understanding of emerging data technologies, analytics approaches, and architectural principles

Document solutions, communicate architecture decisions, and present findings to senior leadership and cross-functional stakeholders

Ensure structural solutions comply with security requirements and NCIS data protection policies

Qualification

Data architectureData modelingData governanceData strategyMaster data managementMetadata managementAnalytics enablementSystem integrationCloud environmentsProblem analysisInnovation methodologiesBusiness domain understandingCommunication skillsTeam collaboration

Required

TS/SCI adjudicated clearance required at start of contract

Bachelor's degree in Computer Science, Information Systems, or related discipline (or equivalent project-related experience)

Minimum 10 years of IT experience, including at least 2 years in information systems design

Demonstrated experience designing and implementing enterprise-scale data and information architectures

Hands-on experience in data architecture, data modeling, and developing data strategies

Experience implementing data and analytics management programs

3–5 years' experience as a data analyst (highly desirable)

Strong conceptualization, pattern recognition, and teaming skills

Ability to communicate effectively with executives, domain leaders, and technical staff

Experience applying innovation and ideation methodologies such as design thinking

Strong business domain understanding—data, processes, and content

System integration experience, including interface design and web-oriented architecture methods

Expertise in data modeling and information classification at the enterprise level

Knowledge of common information architecture frameworks, metamodels, taxonomies, and ontologies

Experience applying structured data modeling to unstructured or semi-structured sources

Familiarity with data science concepts, business intelligence, and data warehouse design

Experience with cloud and hybrid data environments, distributed analytics, and modern data access patterns (microservices, event-driven architectures)

Strong problem-analysis, structured design, and programming technique understanding

Ability to rapidly assess new technologies and map them to business needs

Excellent communication, facilitation, and stakeholder engagement skills

Ability to analyze program-level needs, identify resource requirements, and navigate cross-functional barriers