Senior Graph Database/Semantic Data Architect

• Design enterprise graph database architecture and semantic data models • Define ontology strategy and knowledge graph structure • Lead architecture decisions around graph technologies and semantic data management • Collaborate with AI engineers to support LLM and reasoning use cases • Design scalable data integration patterns across structured and unstructured data • Define best practices for graph data modeling, governance, and performance • Support client discovery sessions and technical workshops • Mentor engineering teams on graph technologies • Produce architecture documentation and technical roadmaps

• 8+ years of experience in Data Architecture or Enterprise Data Engineering • 3+ years of hands-on experience designing Graph Database solutions • Strong experience with Neo4j, Amazon Neptune, TigerGraph, Ontotext GraphDB or similar graph technologies • Deep understanding of RDF, OWL, SPARQL, property graph models, semantic web technologies, and ontology design • Experience designing enterprise Knowledge Graphs or Semantic Data Models • Strong SQL skills and experience with relational databases • Experience integrating graph databases with modern data platforms and cloud environments (AWS, Azure or GCP) • Knowledge of Digital Twin concepts is considered a strong advantage • Experience collaborating with AI/ML teams • Excellent stakeholder communication and architecture documentation skills • Upper-Intermediate or higher level of English