Mitsogo Inc
Senior Data Platform Engineer
- Location
- Chennai
- Last checked
- Oct 26, 2026
About this role
About Hexnode
Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity.
As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics.
The Role
We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product.
In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows.
This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability.
Key Responsibilities
- Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets.
- Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions.
- Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval.
- Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows.
- Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform.
- Ensure high availability, fault tolerance, and disaster recovery across distributed systems.