Senior Graph Database Engineer

DATAECONOMY Inc; Pune District, Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Health insurance

Accident insurance

Life insurance

PF & Gratuity

Hybrid work

Leave & holidays

Break-out area

Job summary

DATAECONOMY Inc. is seeking a Senior Graph Database Engineer (Neo4j) to design scalable graph data models and lead cloud-native data architecture. You will work hybrid from Pune or Hyderabad, coordinating with product and data science teams to shape data standards and governance.

Ideal candidates have 8–12 years of experience in graph databases, Cypher, APOC, and AWS-based data pipelines. Strong collaboration and architectural leadership are essential for this role.

Qualifications

• Experience with Neo4j, Cypher, APOC and graph data modelling patterns.
• Proven ability to model complex relational/graph datasets and design cloud-native architectures.
• Hands-on AWS cloud services experience for data pipelines and integration.
• Ability to design APIs and scalable ETL/ELT pipelines.

Responsibilities

• Design & architect graph data models in Neo4j for scalable datasets.
• Own end-to-end data architecture decisions for graph and cloud-native platforms.
• Build and optimise data pipelines integrating graph DBs with AWS services and external APIs.
• Lead graph query optimisation using Cypher and tuning indexes.
• Collaborate with product, data science and engineering to define data standards.
• Champion data governance, lineage and quality across the platform.
• Mentor junior engineers and contribute to architectural roadmaps.

Skills

Neo4j

Cypher

Data architecture

Problem-solving

Communication

Graph data modelling

Education

BTech/MTech/MCA

Tools

AWS

APOC library

APIs

Job description

Hyderabad / Pune, India | Posted on 05/15/2026

Job Title: Senior Graph Database Engineer (Neo4j) 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.

• Healthinsurance of INR 5.0 Lakhs for you and your family (up to 6members), ensuring complete peace of mind.
• GroupPersonal Accident Insurance and Group Term Life Insurance tosafeguard you and your loved ones.
• PF andGratuity provided as per standard government regulations.
• Enjoy hybridwork arrangements & flexible working hours
• 21 days ofannual leave, in addition to 10 company-declared holidays.
• Access to adedicated break-out area with round-the-clock refreshmentsfor relaxation and rejuvenation.

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.