Job Title: Graph Database & Knowledge Graph Architect (Neo4j)
Company: Klusterfirst Pvt. Ltd.
Location: New Delhi
Experience: 5–9 Years
CTC: ₹25–35 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
- 5–9 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.
Pay: ₹2,500,000.00 - ₹3,500,000.00 per year
Work Location: In person
