Knowledge Graph Architect (Graph DB & Ontology)

Wise Skulls LLC; Pittsburgh (Allegheny County); On-site; USD 120,000 - 160,000; Full time

Job summary

Wise Skulls LLC in Pittsburgh, PA is seeking an experienced Graph Database Specialist for a 6+ month onsite engagement. The role focuses on building enterprise knowledge graphs and semantic data models.

You will work with data architects and stakeholders to translate business requirements into robust ontology designs, with hands-on work on RDF, SPARQL, and Siemens Graph Studio. This position requires independent leadership across multiple projects.

Qualifications

• Strong hands-on experience in Data Ontology, Knowledge Graphs, and Semantic Data Modeling.
• Expertise in defining entities, relationships, taxonomies, and domain models for complex enterprise data.
• Hands-on experience with Graph Database technologies and building enterprise Knowledge Graph solutions.
• Good understanding of RDF and SPARQL and semantic technologies.
• Siemens Graph Studio (Anzo) experience is highly preferred.

Responsibilities

• Lead and support Data Ontology and Graph Database initiatives across multiple projects.
• Collaborate with architects, data teams, and stakeholders to translate business requirements into semantic models.
• Integrate structured and unstructured data from multiple enterprise sources into ontology and knowledge graph models.
• Design, develop, implement, and troubleshoot semantic models and knowledge graphs.

Skills

Data Ontology

Knowledge Graphs

Semantic Modeling

RDF

SPARQL

Siemens Graph Studio

Graph Databases

Job description

Wise Skulls LLC in Pittsburgh, PA is seeking an experienced Graph Database Specialist for a 6+ month onsite engagement. The role focuses on building enterprise knowledge graphs and semantic data models.

You will work with data architects and stakeholders to translate business requirements into robust ontology designs, with hands-on work on RDF, SPARQL, and Siemens Graph Studio. This position requires independent leadership across multiple projects.