• Job Description

  Req#: 25-80341
  
  
  Role Overview:
  We are looking for an experienced Knowledge Graph Engineer/Architect to design, build, and scale our enterprise knowledge graph and semantic data platforms. The ideal candidate has strong experience in knowledge representation, graph databases, ontology modeling, and integrating structured/unstructured data to power search, reasoning, and intelligent applications.
  Key Responsibilities
  • Design and develop knowledge graphs, ontologies, and taxonomies aligned with business domains.
  • Build semantic models using RDF, OWL, SHACL, or property graph approaches.
  • Implement and maintain graph databases (e.g., Neo4j, AWS Neptune, Azure Cosmos DB Gremlin API, TigerGraph).
  • Ingest heterogeneous datasets and convert them into graph structures using ETL pipelines.
  • Work closely with product, data, and engineering teams to understand requirements and map real-world entities into graph models.
  • Develop and optimise SPARQL, Cypher, or Gremlin queries for graph analytics.
  • Integrate the knowledge graph with downstream systems (search, RAG pipelines, analytics, APIs).
  • Ensure data quality, entity resolution, schema alignment, and consistency across sources.
  • Implement reasoning, inference, metadata enrichment, and graph-based recommendations.
  • Conduct POCs, evaluate graph technologies, and define best practices for knowledge graph architecture.
  Required Skills & Experience
  • 3–10+ years of experience in data engineering, semantic technologies, or knowledge graphs.
  • Strong understanding of graph theory, ontologies, and linked data principles.
  • Hands-on experience with at least one major graph database:
  • Neo4j
  • AWS Neptune
  • Azure Cosmos DB (Gremlin)
  • TigerGraph
  • Expertise in SPARQL, Cypher, or Gremlin.
  • Experience with Python or Java for graph data ingestion and pipeline development.
  • Knowledge of ETL/ELT, data modeling, schema design, and API integration.
  • Familiarity with modern AI/ML workflows, especially RAG (Retrieval-Augmented Generation) or LLM-driven applications is a plus.
  • Understanding of semantic web standards (RDF/OWL), entity resolution, and graph embeddings.
  Nice-to-Have Skills
  • Experience with vector databases and hybrid search.
  • Exposure to LLM orchestration, RAG frameworks, or knowledge-grounded AI systems.
  • Background in enterprise domains such as retail, healthcare, insurance, fintech.
  • Familiarity with tools like GraphQL, LangChain, Kafka, Airflow, Databricks, or Azure Data Factory.
  • Knowledge of knowledge graph visualization tools (Bloom, GraphXR).
  Soft Skills
  • Strong analytical and problem-solving ability.
  • Ability to translate business needs into data models.
  • Excellent communication and cross-functional collaboration.
  • Ownership mindset with ability to work in ambiguous environments.
  Education
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field.
  • Certifications in semantic technologies or graph databases are a plus.
  
  
  
  
  
  Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  

• About the company

  We provide Consulting Services for our customer’s project and staffing needs. We also provide Data Management for Clinical Trials.

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