Lead - Data Platform Engineering

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 Experience in building big data ETL data pipelines and Streaming applications using Spark (PySpark), Kafka and other big data frameworks. Experience in Data Warehousing, and OLAP databases like Snowflake, Redshift, and Lakehouse architectures Strong SQL expertise, data modeling, optimizing complex joins and database concepts Strong programming development experience in languages like Python and Java. Extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications. Experience with Infra Scaling and Cost Optimizations Strong documentation skills — translate product requirements into feasible high-level design documents with technical implementation descriptions Strong track record with handling Production workloads and troubleshooting challenging issues Cloud/SaaS experience Strong analytical and problem solving skills Minimum of 8 years relevant experience Experience in Analytics and  Business Intelligence domain is a plus Knowledge of Snowflake, Databricks, Apache Kafka, Apache Flink, Query Engines (Trino, Presto), Apache Airflow  etc. is a plus Experience influencing product roadmaps by demonstrating the art of the possible through exploration and POCs At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us. ... (truncated, view full listing at source)