• 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