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Lead - Data Platform Engineering

Posted February 03, 2026
Full-time Mid-Senior Level

Job Overview

The Analytics Platform Team is looking for a Lead System/Data Engineer  who can implement the  technology roadmap in coherence with the asks from business and evolve our Platforms into cutting edge technology offerings in the industry. You will work with an energetic and talented team of engineers to own and iteratively build one or more of our platform services, while partnering with architects and Product Managers from our many Products who will directly consume your work. You will be building scalable and reliable distributed systems that are milli-second efficient, always available and working at internet scale. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. All our Data Engineers wield end-to-end ownership of their platform services - from design, to development and testing, to deployment, and all the way to nurturing the systems in production. The future includes not only new business problems to add into the mix and new levels of scale to achieve, but also the overall technology vision of the Freshworks Platform as a whole related to not just how we build but also who we build for.

Responsibilities

  • Independently able to Design, Develop, and Maintain data intensive applications

  • Implementing ETL pipelines to bring data from distributed data sources 

  • Responsible for availability, scalability, reliability, and performance of the big data system

  • Ensure 99.99% availability and 99.999% uptime of your production systems

  • Plan and execute goals, proven track record

  • Strong opinions on engineering best practices

  • Assist Product Owners with planning and roadmaps

  • Leads will communicate and coordinate with other teams across Freshworks

  • Mentoring other engineers in the team

  • Platform teams tend to be small but self-sufficient.  You will have a large scope of responsibilities.  They also tend not to have any QA or Ops personnel

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