Senior Data Architect - Semantic Modeling & Taxonomy Lead

Data Intelligence LLC

McLean (VA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401k
PTO
11 paid holidays

Job summary

Data Intelligence is seeking a Senior Data Architect — Data Modeling to lead the design and evolution of the JADE program's proprietary data model, semantic frameworks, ontologies, and taxonomies that structure complex datasets and enable interoperability across custom digital forensic capabilities.

You will design structured knowledge frameworks, oversee governance, and mentor teammates to bridge technical work across program teams while aligning data models with organizational goals.

Qualifications

  • 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design, and data governance.
  • Demonstrated ability to work independently, mentor others, and bridge technical work across teams.
  • Bachelor's or advanced degree in a related technical field.
  • Maintain required clearance; support work through SCI channels

Responsibilities

  • Design and implement structured knowledge frameworks, taxonomies, and metadata models defining relationships between data entities.
  • Enhance data interoperability, searchability, and knowledge representation across program systems and transition-partner systems.
  • Collaborate with cross-functional teams and stakeholders to map data, create semantic models, and maintain data governance standards.
  • Align data models with organizational goals and enterprise data-processing requirements.

Skills

Data architecture
Semantic modeling
Ontology design
Data governance
Mentoring
Cross-functional work

Education

Bachelor's or advanced degree

Job description

Data Intelligence is seeking a Senior Data Architect — Data Modeling to lead the design and evolution of the JADE program's proprietary data model, semantic frameworks, ontologies, and taxonomies that structure complex datasets and enable interoperability across custom digital forensic capabilities.

You will design structured knowledge frameworks, oversee governance, and mentor teammates to bridge technical work across program teams while aligning data models with organizational goals.

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