Fantom

Systems integration and IT services, analytics

Ontology Architect and Knowledge Modeling Specialist

Data ManagementUpdated on Nov 14

Full-timeChantilly, VA, USANo salary listed

About the Job

Requirements

A bachelor's degree is required.
A minimum of 10 years of relevant experience in semantic architecture, knowledge engineering, data architecture, ontology development, or related technical disciplines is required.
Experience designing and implementing enterprise knowledge graphs and ontological models is required.
Proficiency with semantic web standards, including Web Ontology Language (OWL), Resource Description Framework (RDF), and Shapes Constraint Language (SHACL), is required.
Experience developing domain-specific taxonomies, controlled vocabularies, and semantic schemas is required.
Experience working with graph databases such as GraphDB and Neo4j is required.
Understanding of semantic inference, entity resolution, metadata management, and cross-system interoperability is required.
Experience integrating semantic models with retrieval-augmented generation (RAG) pipelines and vector search systems is required.
Experience establishing data governance, validation, harmonization, and quality controls is required.
Ability to translate complex business requirements into clear, maintainable semantic models is required.
Strong analytical and technical documentation skills are required.
An active Top Secret clearance is required, and the candidate must be willing and able to obtain a polygraph.

Responsibilities

Lead the semantic architecture, design, and implementation of enterprise knowledge graphs and ontological models.
Develop domain-specific ontologies, taxonomies, and controlled vocabularies using OWL, RDF, and SHACL.
Translate complex business domains, relationships, and rules into structured semantic models.
Design semantic schemas that support interoperability, inference, and metadata management across diverse repositories.
Develop data harmonization pipelines that map and normalize structured and unstructured information into consistent semantic representations.
Integrate semantic frameworks with enterprise graph databases, including GraphDB and Neo4j.
Connect knowledge graphs with RAG pipelines and vector search systems.
Establish governance practices, validation workflows, and data quality controls for semantic models and graph data.
Define and maintain metadata standards, modeling conventions, and semantic architecture documentation.
Collaborate with data scientists, software engineers, and AI architects to align semantic models with application and analytical requirements.
Support entity resolution, semantic search, and context-aware AI through well-defined relationships and consistent data meaning.
Identify and resolve inconsistencies across data sources to reduce information silos and improve interoperability.

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

Must possess an active Top Secret Clearance

Must be willing and able to obtain a polygraph

Education: Bachelor’s degree required
Experience: Minimum of 10 years of relevant experience

Position Summary

We are seeking a Knowledge Graph and Ontology Architect to design and implement enterprise knowledge graphs and semantic models that transform unstructured data into interconnected, machine-readable information.

This role develops domain-specific ontologies, taxonomies, and controlled vocabularies that capture complex relationships and business logic. Working closely with data scientists, software engineers, and AI architects, the architect integrates semantic frameworks with graph databases and AI pipelines to support entity resolution, semantic search, inference, and context-aware AI applications.

Responsibilities

Lead the semantic architecture, design, and implementation of enterprise knowledge graphs and ontological models.

Develop domain-specific ontologies, taxonomies, and controlled vocabularies using OWL, RDF, and SHACL.

Translate complex business domains, relationships, and rules into structured semantic models.

Design semantic schemas that support interoperability, inference, and metadata management across diverse repositories.

Develop data harmonization pipelines that map and normalize structured and unstructured information into consistent semantic representations.

Integrate semantic frameworks with enterprise graph databases, including GraphDB and Neo4j.

Connect knowledge graphs with retrieval-augmented generation (RAG) pipelines and vector search systems.

Establish governance practices, validation workflows, and data quality controls for semantic models and graph data.

Define and maintain metadata standards, modeling conventions, and semantic architecture documentation.

Collaborate with data scientists, software engineers, and AI architects to align semantic models with application and analytical requirements.

Support entity resolution, semantic search, and context-aware AI through well-defined relationships and consistent data meaning.

Identify and resolve inconsistencies across data sources to reduce information silos and improve interoperability.

Required Qualifications

Must possess an active Top Secret Clearance
Must be willing and able to obtain a polygraph
Minimum of 10 years of relevant experience in semantic architecture, knowledge engineering, data architecture, ontology development, or related technical disciplines.
Experience designing and implementing enterprise knowledge graphs and ontological models.
Proficiency with semantic web standards, including Web Ontology Language (OWL), Resource Description Framework (RDF), and Shapes Constraint Language (SHACL).
Experience developing domain-specific taxonomies, controlled vocabularies, and semantic schemas.
Experience working with graph databases such as GraphDB and Neo4j.
Understanding of semantic inference, entity resolution, metadata management, and cross-system interoperability.
Experience integrating semantic models with RAG pipelines and vector search systems.
Experience establishing data governance, validation, harmonization, and quality controls.
Ability to translate complex business requirements into clear, maintainable semantic models.
Strong analytical, technical documentation, communication, and collaboration skills.

#CJ

Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company

Fantom

Systems integration and IT services, analytics

Fantom leads IT services for federal and commercial clients, focusing on big data analytics, system integration, software engineering, and technical consulting. Its offering blends architecture and program management with data-driven capabilities to help organizations detect patterns, uncover trends, and derive actionable insights from structured and unstructured data. Projects are delivered through service contracts and fixed engagements, supported by a team of architects, engineers, and program managers. What sets Fantom apart is its minority-owned status combined with a dual focus on Department of Defense and Intelligence Community work alongside private-sector clients, and its emphasis on employee well-being through benefits like profit-sharing and life insurance. The company's goal is to enable clients to make informed decisions and achieve mission and business objectives by providing specialized IT solutions and data-driven capabilities.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Leesburg, VA
Founded: 2014

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