Lead BigQuery / Graph DBA GCP & Neo4j Specialist

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

• Strong 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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