About Us:

Hitachi Digital is building next-generation data platforms to power AI-driven insights and enterprise-scale analytics. We leverage Google Cloud Platform (GCP) and graph technologies to deliver secure, scalable, and intelligent data ecosystems. We are seeking a Lead BigQuery / Graph DBA with deep expertise in BigQuery, Neo4j, and graph-based data modeling to design and optimize high-performance data architectures.

Role Overview

As a Lead BigQuery / Graph DBA, you will architect, manage, and optimize cloud-native data warehouses and graph databases. You will lead data modeling, query optimization, and integration strategies for structured and graph-based data, enabling advanced analytics and AI workflows across global OpCos.

Key Responsibilities

Database Architecture & Management

- Design and maintain BigQuery data warehouses for large-scale analytics.

- Develop graph schemas, relationships, and knowledge graphs using Neo4j.

- Implement data ingestion pipelines, ETL processes, and partitioning strategies for performance optimization.

Performance & Optimization

- Optimize SQL queries, Cypher queries, and indexing for high-volume datasets.

- Monitor and tune BigQuery cost-performance and Neo4j

- Ensure high availability, disaster recovery, and backup strategies for critical data assets.

Integration & AI Enablement

- Integrate graph databases with AI/ML pipelines for semantic search and contextual reasoning.

- Enable RAG workflows and knowledge graph-driven AI for enterprise applications.

- Collaborate with data engineering and AI teams to embed graph intelligence into analytics platforms.

Governance & Security

- Enforce data governance policies, lineage tracking, and compliance standards.

- Implement IAM roles, VPC-SC, and data protection controls on GCP.

- Document architecture decisions, query patterns, and best practices.

Required Qualifications

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





- 8+ years in database administration; 3+ years with BigQuery and Neo4j.

- Strong proficiency in SQL, Cypher, and data modeling for relational and graph databases.

- Hands-on experience with GCP services (BigQuery, IAM, VPC-SC, Cloud Storage).

- Familiarity with graph algorithms, knowledge graphs, and semantic modeling.

- Understanding of ETL pipelines, data governance, and cloud security.

Preferred Qualifications

- Certifications: Google Professional Data Engineer, Neo4j Certified Professional.

- Experience with AI/ML integration, RAG pipelines, and agentic workflows.

- Exposure to Looker BI, Power BI, or Tableau for visualization.

- Knowledge of LangChain, vector databases, and embedding strategies.

Key Competencies

- Solid analytical and problem-solving skills.

- Ability to design scalable, secure, and performant data architectures.

- Collaborative mindset with excellent communication skills.

- Passion for graph-driven AI and cloud-native data platforms.

Success Metrics

- Deployment of optimized BigQuery and Neo4j environments for enterprise analytics.

- Integration of knowledge graphs into AI workflows for contextual intelligence.

- Reduction in query latency and cost across large-scale datasets.

- Positive impact on data quality, governance, and compliance readiness.

What You’ll Work With

- Cloud & Data: GCP BigQuery, Cloud Storage, IAM, VPC-SC.

- Graph DB: Neo4j, Cypher, APOC procedures.

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

- Tools: Python, SQL, ETL frameworks, BI tools (Looker preferred).

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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.

📌 Lead BigQuery / Graph DBA GCP & Neo4j Specialist (India)
🏢 Recognized
📍 India