Database Specialist

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Database Specialist 

Overview 

We are seeking an experienced Database Specialist with deep expertise in graph databases and time-series data stores to own the full lifecycle — from design to operations — of the data persistence layer for our digital twin platforms. You will be responsible for data modeling, schema design, query optimization, as well as DBA functions including installation, security, replication, backup/recovery, and incident response. This role is critical to ensuring reliable, performant, and secure databases that power simulation and operational intelligence. 

Our core database stack includes: 

Graph Database 

Neo4j for network topology modeling and relationship graphs 

Cypher for graph queries and traversals 

Graph algorithms (pathfinding, centrality, community detection) 

Time-Series Database 

TimescaleDB for high-volume operational and temporal data 

Continuous aggregates and retention policies 

Time-series indexing and compression 

Analytics & Governance 

Databricks SQL for analytical queries 

Unity Catalog for metadata management and governance 

Spatial data indexing and geospatial queries 

Key Responsibilities 

Design and implement Neo4j graph models for network topology, assets, and dependencies 

Develop and optimize Cypher queries for complex traversals and real-time lookups 

Architect TimescaleDB schemas for high-volume time-series data with partitioning and retention 

Implement graph algorithms for pathfinding, connectivity, and network optimization 

Tune database performance via indexing, query optimization, and schema design 

Install, configure, and maintain Neo4j and TimescaleDB across environments 

Manage database security, access control, encryption, and compliance logging 

Configure replication, clustering, failover, and execute upgrades/migrations 

Establish monitoring, alerting, capacity planning, and incident response 

Integrate with Databricks lakehouse, support Unity Catalog, and document standards/procedures 

Preferred Qualifications 

8+ years of database engineering/DBA experience, with 4+ years in graph or time-series databases 

Track record of designing and operating production-grade Neo4j or TimescaleDB deployments at scale 

Experience with graph algorithm libraries (Neo4j GDS, NetworkX) 

Experience managing databases in enterprise environments with strict SLAs and compliance requirements 

Experience working in agile, cross-functional teams 

Highly Desirable 

Experience with database design and operations for digital twin or simulation platforms 

Familiarity with network topology modeling (infrastructure, logistics, utilities, or similar domains) 

Experience with temporal graph patterns (versioned relationships, time-varying properties) 

Exposure to hybrid query patterns combining graph traversals with time-series analytics 

Experience with database migration and schema evolution strategies at scale 

Neo4j Certified Professional or equivalent certification 

Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 
Department: Engineering 
Employment Type: Full-Time