About the Company: A leading technology firm dedicated to innovation and excellence in data management and analytics.
About the Role: We are seeking a Knowledge Graph Developer to lead the design and implementation of knowledge graphs and ontologies across various enterprise domains.
Responsibilities:
- Lead the creation, extension, and alignment of ontologies across enterprise domains (e.g., Manufacturing, R&D, Supply Chain, Quality).
- Define ontology modeling standards and best practices using RDF, RDFS, OWL, and SKOS.
- Develop modularization strategies for ontologies to enable scalability and reuse.
- Design and implement knowledge graphs leveraging semantic models, reasoning, and data contextualization.
- Define integration patterns between ontologies, graph stores, and upstream data sources (e.g., relational, APIs, files).
- Lead graph modeling and mapping using tools such as Anzo, GraphDB, Neo4j, or Stardog.
- Guide teams in mapping structured and unstructured data from multiple sources to ontology models.
- Ensure semantic alignment and consistency across ingestion, enrichment, and consumption layers.
- Support use cases involving graph analytics, semantic search, and frontend application development.
Qualifications: Relevant degree in Computer Science, Data Science, or a related field.
Required Skills:
- Proficiency in Anzo, Neo4j, Stardog, GraphDB, and ETL processes.
- Strong knowledge of ontology design and development.
- Experience with RDF, RDFS, OWL, and SKOS.
- Ability to work with structured and unstructured data.
Preferred Skills:
- Experience in graph analytics and semantic search.
- Familiarity with frontend application development.
Pay range and compensation package: Competitive salary based on experience and qualifications.
Equal Opportunity Statement: We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.
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