The Role
Design and architect scalable Neo4j graph data models and cloud-native data platforms. Build and optimize AWS-integrated data pipelines, APIs, and ingestion patterns; tune Cypher queries, indexes, and execution plans. Establish data governance, lineage, quality standards, schemas, and best practices. Collaborate with product, data science, and engineering teams, make architecture decisions, mentor engineers, and contribute to technical roadmaps and design reviews.
Summary Generated by Built In
Job Title: Senior Graph Database Engineer (Neo4j)
Experience Level: 8 - 12 years
Location: Hyderabad / Pune
Experience Level: 8 - 12 years
Location: Hyderabad / Pune
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid
We are looking for an experienced Graph Database Engineer with deep expertise in Neo4j, data modelling, and AWS cloud technologies. The ideal candidate understands complex data relationships at an architectural level, can make decisive platform choices, and excels at designing scalable, cloud-native solutions that bridge business goals with engineering excellence.
Key Responsibilities
- Design & architect graph data models in Neo4j for complex, interconnected datasets — ensuring scalability, performance, and maintainability.
- Own end-to-end data architecture decisions for graph and cloud-native platforms, translating business requirements into robust technical blueprints.
- Build and optimise data pipelines integrating graph databases with AWS services (Lambda, S3, Glue, ECS/EKS, EC2) and external APIs.
- Lead graph query optimisation using Cypher — writing performant queries, tuning indexes, and profiling execution plans.
- Collaborate with cross-functional teams — product, data science, and engineering — to define data standards, schemas, and best practices.
- Champion data governance, lineage, and quality standards across the graph data platform.
- Mentor junior engineers and contribute to architectural reviews, design documents, and technical roadmaps.
Requirements
- Neo4j expertise: hands-on experience with Neo4j, Cypher query language, APOC library, and graph data modelling patterns.
- Data architecture: proven ability to model complex relational and graph datasets and make high-impact platform decisions.
- AWS cloud services: practical experience with Lambda, S3, EC2, Glue, ECS/EKS, and designing cloud-native architectures.
- Data integration: experience designing APIs, ETL/ELT pipelines, and scalable data ingestion patterns.
- Problem-solving & communication: ability to break down ambiguous problems and communicate architectural tradeoffs clearly to both technical and non-technical stakeholders.
Benefits
- Comprehensive Medical Coverage:Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
- Robust Protection Plans:Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
- Retirement Benefits:PF and Gratuity provided as per standard government regulations.
- Flexible Work Options:Enjoy hybrid work arrangements & flexible working hours
- Generous Leave Policy:21 days of annual leave, in addition to 10 company-declared holidays.
- Employee Well-being Spaces:Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.
Skills Required
- 8–12 years of professional experience
- BTech, MTech, or MCA degree
- Hands-on expertise with Neo4j
- Experience with Cypher query language
- Experience with the APOC library
- Experience with graph data modeling patterns
- Ability to model complex relational and graph datasets
- Experience making high-impact data platform and architecture decisions
- Practical experience with AWS Lambda, S3, EC2, Glue, ECS, and EKS
- Experience designing APIs, ETL/ELT pipelines, and scalable data ingestion patterns
- Ability to communicate architectural tradeoffs to technical and non-technical stakeholders
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The Company
What We Do
DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.
