Architect - Ontologist / Knowledge Modeler

Galent; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Galent is seeking an experienced Ontologist / Knowledge Modeler to drive the design and implementation of knowledge graphs and ontologies. The ideal candidate will have hands-on experience with graph database technologies and knowledge modeling, with a focus on industry standards like BIAN and MISMO.

This talented individual will develop data models and collaborate with AI/ML teams to implement contextual data retrieval using knowledge graphs. This position offers a chance to innovate in a dynamic environment in Dallas, Texas.

Qualifications

• Minimum of 3 years in ontology development and knowledge modeling.
• Proven track record with industry standards such as BIAN and MISMO.
• Experience with open-source graph databases.

Responsibilities

• Develop ontologies and taxonomies using knowledge graph tools.
• Build and refine knowledge graphs aligned with industry standards.
• Design scalable architectures for linked data and semantic models.

Skills

Ontology development

Knowledge modeling

Graph database management

Proficiency in RDF/OWL

SPARQL

Programming in Python or Java

Tools

Neo4j

Apache Jena

RDF4J

GraphDB

JanusGraph

Job description

Job Title: Architect - Ontologist / Knowledge Modeler

Job Description

We are seeking an experienced Ontologist / Knowledge Modeler with Strong experience to drive the design and implementation of knowledge graphs, ontologies, and data models for our organization. The ideal candidate will possess hands‑on experience with graph database technologies and knowledge modeling, leveraging open‑source tools for building scalable, interoperable solutions. Expertise in industry standards such as Banking Industry Architecture Network (BIAN) and Mortgage Industry Standards Maintenance Organization (MISMO) is highly desirable.

Responsibilities

• Develop ontologies and taxonomies using open‑source knowledge graph tools like Apache Jena and RDF4J.
• Build and refine knowledge graphs for structured data representation, aligning with standards such as BIAN and MISMO.
• Design scalable architectures for linked data and semantic models, integrating data from multiple sources.
• Ensure data interoperability by aligning ontologies with industry standards and regulatory frameworks.
• Design metadata schemas and common data vocabularies, leveraging RDF and OWL to enhance data accessibility.
• Integrate graph database solutions such as Neo4j, ArangoDB, and Blazegraph for efficient data querying and management.
• Employ SPARQL endpoints and graph analytics tools to derive insights from knowledge graphs, using solutions like GraphDB and JanusGraph.
• Develop data models that support semantic search, data extraction, and AI‑driven recommendations.
• Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs.
• Enhance data discovery and search capabilities through graph‑based search relevancy and knowledge representation.

Required Skills and Qualifications

Experience

• Minimum of 3 years in ontology development, knowledge modeling, and graph database management.
• Proven track record with BIAN, MISMO, and other relevant industry standards.
• Familiarity with open‑source graph databases and their applications in real‑time analytics and data interoperability.

Technical Skills

• Proficiency in RDF/OWL, SPARQL, and knowledge graph platforms like Neo4j, ArangoDB, and Blazegraph.
• Experience with knowledge graph visualization tools like Graphistry and Gephi.
• Strong programming skills in Python or Java to implement custom graph applications and integrations.

Domain Knowledge

• Expertise in financial services, banking, and/or mortgage industry standards and processes.
• Knowledge of healthcare or regulatory standards is a plus.
• Ability to incorporate domain knowledge into semantic models for actionable business insights.

Behavioral Skills

• Excellent communication skills for conveying complex concepts to technical and non‑technical stakeholders.
• Ability to work both independently and within a team setting, showing leadership in best practices.
• Proactive, innovative, and detail‑oriented, with a strong focus on emerging technologies.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf