Lead Graph Data Engineer
RAKESH RANJANUnited StatesLEADPosted 11d ago
AWS NeptuneNeo4jGraph Data ModelingKnowledge GraphsOntologiesCypherGremlinSPARQLPythonJavaBatch Data PipelinesStreaming Data PipelinesAWS Data ServicesCloud-Native ArchitecturesApache SparkKafkaAirflowInfrastructure as CodeGraphRAGLLM IntegrationSemantic SearchVector DatabaseLangChainSemantic Web
About the Role
We are looking for an experienced Lead Graph Data Engineer to join our team. This role focuses on building and optimizing production-grade knowledge graph solutions with expertise in graph databases and AI/LLM integration.
Key Responsibilities
• Build and optimize production-grade knowledge graph solutions
• Design and implement graph data models and ontologies
• Integrate AI/LLM capabilities with graph databases
• Lead technical projects and mentor junior engineers
• Ensure engineering standards and best practices are followed
Requirements
• Strong production experience with AWS Neptune or Neo4j
• Hands-on expertise in Graph Data Modeling, Knowledge Graphs, and Ontologies
• Proficiency in Cypher, Gremlin, or SPARQL
• Strong programming skills in Python or Java
• Experience building scalable batch and streaming data pipelines
• Working knowledge of AWS data services and cloud-native architectures
• Experience with Apache Spark, Kafka, or Airflow
• Infrastructure as Code (IaC) experience
• Understanding of GraphRAG, LLM integration, and Semantic Search
• Technical leadership, engineering standards, and mentoring experience