Neo4j Architect

Innefu Labs Limited; Delhi; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Innefu Labs Limited is looking for a Graph Database & Knowledge Graph Architect with strong expertise in Neo4j and Data Engineering. The ideal candidate will be responsible for designing and implementing scalable graph database architectures and optimizing ETL/ELT pipelines.

This role requires deep knowledge of data modeling, data integration, and a strong grasp of query languages. Candidates should have at least 7 years of relevant experience and a background in computer science or related fields.

Qualifications

• 7+ years of experience in Data Engineering, Data Architecture, or Database Engineering.
• Strong hands-on expertise in Neo4j and Graph Database technologies.
• Experience working with large-scale datasets and distributed data systems.

Responsibilities

• Design and implement scalable Neo4j graph database architectures.
• Develop graph data models, schemas, ontologies, and relationship frameworks.
• Build and optimize ETL/ELT pipelines for data ingestion.

Skills

Neo4j Expertise

Data Engineering

Cypher Query Language

ETL/ELT

Python

SQL

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology

Tools

Apache Spark

Kafka

Airflow

Job description

We are seeking a Graph Database & Knowledge Graph Architect with strong Neo4j and Data Engineering expertise to design, build, and scale enterprise-grade graph data platforms and knowledge graph solutions. The ideal candidate will have experience in graph data modeling, large-scale data integration, ETL/ELT pipelines, and advanced analytics architectures.

Key Responsibilities

• Design and implement scalable Neo4j graph database architectures and Knowledge Graph solutions.
• Develop graph data models, schemas, ontologies, and relationship frameworks.
• Build and optimize ETL/ELT pipelines to ingest, transform, and enrich data from multiple structured and unstructured sources.
• Design data integration frameworks connecting 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 connected intelligence solutions.
• Support advanced analytics, entity resolution, relationship discovery, and Graph AI use cases.

Requirements

Required Skills

• 7+ years of experience in Data Engineering, Data Architecture, or Database Engineering.
• Strong hands-on expertise in Neo4j and Graph Database technologies.
• Advanced proficiency in Cypher Query Language.
• Experience with Knowledge Graph Architecture and Graph Data Modeling.
• Strong understanding of Data Engineering concepts, including ETL/ELT, data pipelines, data integration, and data warehousing.
• Proficiency in Python, SQL, and data processing frameworks.
• Experience working with large-scale datasets and distributed data systems.
• Knowledge of cloud platforms (AWS, Azure, or GCP).

Preferred Skills

• Neo4j Graph Data Science (GDS).
• Apache Spark, Kafka, Airflow, or similar data engineering tools.
• RDF, OWL, SPARQL, and Semantic Web technologies.
• Graph RAG, LLM integration, and AI-powered Knowledge Graph solutions.

Qualification

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.