Graph Database & Knowledge Graph Architect

Job Title: Graph Database & Knowledge Graph Architect (Neo4j) Company: Klusterfirst Pvt. Ltd. Location: New Delhi Experience: 59 Years CTC: 2535 LPA Employment Type: Full-time Immediate Joiners Preferred About the Role We are looking for an experienced Graph Database & Knowledge Graph Architect with strong expertise in Neo4j and Data Engineering to design, build, and scale enterprise-grade graph database and knowledge graph solutions. The ideal candidate should have hands-on experience in graph data modeling, ETL/ELT pipelines, data integration, and advanced analytics architectures. Key Responsibilities Design and implement scalable Neo4j Graph Database and Knowledge Graph architectures. Develop graph data models, schemas, ontologies, and relationship frameworks. Build and optimize ETL/ELT pipelines for structured and unstructured data sources. Integrate graph databases with relational, NoSQL, and big data platforms. Optimize Cypher queries, graph traversals, indexing, and database performance. Ensure data quality, governance, security, and lifecycle management. Collaborate with Data Engineering, AI/ML, and Product teams to deliver graph-based solutions. Support advanced analytics, entity resolution, relationship discovery, and Graph AI use cases. Required Skills 59 years of experience in Data Engineering, Data Architecture, or Database Engineering. Strong hands-on experience with Neo4j and Graph Database technologies. Expertise in Cypher Query Language. Experience with Knowledge Graph Architecture and Graph Data Modeling. Strong knowledge of ETL/ELT, Data Pipelines, Data Integration, and Data Warehousing. Proficiency in Python and SQL. Experience working with large-scale datasets and distributed data systems. Exposure to cloud platforms such as AWS, Azure, or GCP. Preferred Skills Neo4j Graph Data Science (GDS). Apache Spark, Kafka, or Airflow. RDF, OWL, SPARQL, and Semantic Web technologies. GraphRAG, LLM integration, and AI-powered Knowledge Graph solutions. Experience in Cyber Security, Fraud Analytics, Intelligence, or Investigative Analytics. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. Compensation: 2,500,000.00 - 3,500,000.00 per year Work Location: In person Job Title: Graph Database & Knowledge Graph Architect (Neo4j) Company: Klusterfirst Pvt. Ltd. Location: New Delhi Experience: 59 Years CTC: 2535 LPA Employment Type: Full-time Immediate Joiners Preferred About the Role We are looking for an experienced Graph Database & Knowledge Graph Architect with strong expertise in Neo4j and Data Engineering to design, build, and scale enterprise-grade graph database and knowledge graph solutions. The ideal candidate should have hands-on experience in graph data modeling, ETL/ELT pipelines, data integration, and advanced analytics architectures. Key Responsibilities Design and implement scalable Neo4j Graph Database and Knowledge Graph architectures. Develop graph data models, schemas, ontologies, and relationship frameworks. Build and optimize ETL/ELT pipelines for structured and unstructured data sources. Integrate graph databases with relational, NoSQL, and big data platforms. Optimize Cypher queries, graph traversals, indexing, and database performance. Ensure data quality, governance, security, and lifecycle management. Collaborate with Data Engineering, AI/ML, and Product teams to deliver graph-based solutions. Support advanced analytics, entity resolution, relationship discovery, and Graph AI use cases. Required Skills 59 years of experience in Data Engineering, Data Architecture, or Database Engineering. Strong hands-on experience with Neo4j and Graph Database technologies. Expertise in Cypher Query Language. Experience with Knowledge Graph Architecture and Graph Data Modeling. Strong knowledge of ETL/ELT, Data Pipelines, Data Integration, and Data Warehousing. Proficiency in Python and SQL. Experience working with large-scale datasets and distributed data systems. Exposure to cloud platforms such as AWS, Azure, or GCP. Preferred Skills Neo4j Graph Data Science (GDS). Apache Spark, Kafka, or Airflow. RDF, OWL, SPARQL, and Semantic Web technologies. GraphRAG, LLM integration, and AI-powered Knowledge Graph solutions. Experience in Cyber Security, Fraud Analytics, Intelligence, or Investigative Analytics. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. Compensation: 2,500,000.00 - 3,500,000.00 per year Work Location: In person