Senior Data Platform Engineer

Role overview

Senior Data Platform Engineer at Mitsogo Inc

<h2>The Role</h2>

<p>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.

Responsibilities

• 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.</p>

Employment details

• Location: Chennai

Additional role details

• <h2>About Hexnode</h2>
• <p>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.</p>
• <p>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.</p>
• <hr>
• <p>We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product.</p>
• <p>This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability.</p>
• <h2>Key Responsibilities</h2>
• <ul>
• <li>Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets.</li>
• <li>Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions.</li>
• <li>Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval.</li>
• <li>Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows.</li>
• <li>Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform.</li>
• <li>Ensure high availability, fault tolerance, and disaster recovery across distributed systems.</li>
• <li>Implement robust data security controls aligned with XDR and modern cybersecurity frameworks, ensuring data protection at rest and in transit.</li>
• <li>Collaborate closely with security engineering, backend teams, and data scientists to bridge raw telemetry ingestion with actionable insights.</li>
• <li>Continuously monitor platform performance and lead improvements in reliability, scalability, and operational efficiency.</li>
• </ul>
• <h2>Qualifications</h2>
• <li>6–10 years of professional experience in Data Engineering, Data Platform Engineering, or Distributed Systems Architecture as an Individual Contributor.</li>
• <li>Strong hands-on experience with large-scale distributed search and analytics platforms.</li>
• <li>Proven experience evaluating and migrating data platforms to improve scalability, performance, and cost efficiency.</li>
• <li>Deep understanding of indexing strategies, query optimization, and distributed data storage architectures.</li>
• <li>Practical experience designing and operating data lake environments supporting large-scale analytics and machine learning workflows.</li>
• <li>Strong knowledge of data lifecycle management, storage tiering, and cost optimization strategies.</li>
• <li>Experience implementing security best practices in distributed data systems, especially in security or telemetry-heavy environments.</li>
• <li>Solid understanding of high-volume ingestion pipelines and real-time data processing systems.</li>
• <li>Bachelor’s degree in Computer Science, Information Technology, or a related technical field.</li>
• <h2>What We’re Looking For</h2>
• <li>A systems thinker who can design platforms for scale, not just features.</li>
• <li>Someone who can balance performance, cost, and reliability in large distributed systems.</li>
• <li>A hands-on architect who can both define strategy and execute technically.</li>
• <li>Strong ownership mindset with the ability to independently drive platform-level initiatives.</li>
• <li>Experience working in security, cybersecurity, SIEM, or XDR environments is a strong plus.</li>