Graph Database & Knowledge Graph Architect

• *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