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about 6 hours ago
Requirements and responsibilities
Are you passionate about knowledge graphs, semantic technologies, and enterprise data architecture?We're looking for a Semantic Data Architect to design enterprise ontologies and knowledge graphs that power AI, intelligent search, and next-generation data platforms.What You'll DoDesign and develop enterprise ontologies and semantic data models.Build and maintain knowledge graphs that connect data across multiple business domains.Create relationships between products, customers, services, and enterprise data to enable AI-powered insights.Work closely with business stakeholders to translate complex requirements into semantic models.Implement and maintain semantic standards using RDF, OWL, and SPARQL.Collaborate with data engineers, developers, and AI teams to improve enterprise search, metadata, and knowledge management.Maintain and evolve semantic models as business requirements grow.What We're Looking For7–10 years of experience in Data Architecture, Semantic Technologies, or Knowledge Engineering.5+ years of hands-on experience building enterprise ontologies in complex environments.Strong expertise in RDF, OWL, SPARQL, Taxonomy Design, and Knowledge Graphs.Experience with ontology management tools such as PoolParty, TopBraid EDG, GraphDB, or similar platforms.Strong understanding of metadata management, semantic modeling, and enterprise information architecture.Excellent communication skills with the ability to collaborate across technical and business teams.Why Join?Work on cutting-edge AI, semantic web, and knowledge graph initiatives.Design enterprise-scale semantic architectures that power intelligent applications.Collaborate with experienced AI, data engineering, and architecture teams.100% Remote opportunity with high-impact global projects.Excellent learning and long-term career growth.Salary above market standards.If you're excited about building the semantic foundation for enterprise AI and knowledge-driven applications, we'd love to hear from you!