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