Lead Graph DB Engineer

About Us

Hitachi Digital is transforming enterprise data ecosystems through advanced AI and graph technologies. We build intelligent, connected platforms that power decision-making across global OpCos. We are seeking a Lead Graph Database Developer with deep expertise in Neo4j, Knowledge Graph design, and AI-driven graph analytics to architect and implement next-generation graph solutions.

Role Overview

As a Lead Graph DB Developer, you will design, develop, and optimize graph-based data models and knowledge graphs that integrate seamlessly with AI systems. You will lead the implementation of Neo4j-based solutions, enabling advanced reasoning, semantic search, and contextual intelligence for enterprise applications.

Key Responsibilities – Graph Architecture & Development

• Design and implement graph schemas, data models, and knowledge graphs using **Neo4j**.


• Develop Cypher queries, stored procedures, and graph algorithms for complex data relationships.


• Architect graph ingestion pipelines for structured, semi-structured, and unstructured data sources.

AI & Knowledge Graph Integration

• Integrate knowledge graphs with AI/ML models for semantic search, entity resolution, and reasoning.


• Implement Graph + LLM patterns for contextual retrieval and RAG (Retrieval-Augmented Generation).


• Collaborate with AI teams to enable agentic workflows leveraging graph-based context.

Performance & Optimization

• Optimize graph queries and indexing for large-scale datasets.


• Ensure high availability, scalability, and security of graph databases in production environments.

Governance & Documentation

• Define best practices for graph modeling, data lineage, and metadata management.


• Document architecture decisions, query patterns, and integration workflows.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.


• 7+ years in database development; 3+ years specializing in **Neo4j** and graph technologies.


• Strong proficiency in **Cypher**, **GraphQL**, and API integration.


• Experience with Knowledge Graph design, ontology modeling, and semantic technologies.


• Familiarity with AI/ML integration, LLMs, and RAG pipelines.


• Solid understanding of data modeling, ETL pipelines, and distributed systems.

Preferred Qualifications

• Experience with cloud platforms (GCP preferred; AWS/Azure a plus).


• Knowledge of graph algorithms (PageRank, community detection, shortest path).


• Exposure to LangChain, vector databases, and embedding strategies.


• Certifications in Neo4j or Graph Data Science.

Key Competencies

• Strong analytical and problem-solving skills.


• Ability to design scalable, secure, and performant graph solutions.


• Collaborative mindset with excellent communication skills.


• Passion for graph-driven AI and semantic data architectures.

Success Metrics

• Delivery of enterprise knowledge graph integrated with AI systems.


• Performance optimization of graph queries for large-scale datasets.


• Positive impact on search relevance, contextual reasoning, and data connectivity.

What You’ll Work With

• Graph DB: **Neo4j**, **Cypher**, APOC procedures.


• AI Integration: Knowledge Graph + LLM workflows, RAG pipelines.


• Data & BI: ETL tools, APIs, semantic modeling.


• Cloud & DevOps: GCP (preferred), Docker, Kubernetes, CI/CD pipelines.