Lead Graph DB Engineer at HITACHI DIGITAL SERVICES LLC

, , India -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Neo4j, Knowledge Graph Design, Cypher, Graph Architecture, AI/ML Integration, LLM Workflows, RAG Pipelines, Semantic Search, GraphQL, Data Modeling, ETL Pipelines, Performance Optimization, Cloud Platforms, Graph Algorithms, LangChain, Vector Databases

Industry

Information Technology & Services

Description

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. 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. #LI-MS3 About us We’re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Lead Graph DB Developer will design, develop, and optimize graph-based data models and knowledge graphs, leading the implementation of Neo4j-based solutions for advanced reasoning and semantic search. Key duties include architecting graph ingestion pipelines, integrating knowledge graphs with AI/ML models, and optimizing query performance for large-scale datasets.