What you can expect

You will design and scale the data systems that connect product usage to revenue outcomes. You will build real-time and batch pipelines powering predictive models and business activation. You will shape foundational architecture that drives company-wide decision-making.

About the Team

Our team builds the data platform powering revenue intelligence across products. We partner with engineering, data science, and go-to-market teams. We turn raw telemetry into trusted, actionable data at scale.

Responsibilities
- Designing and building end-to-end data architecture that unifies product telemetry, customer lifecycle, and revenue metrics into a trusted single source of truth.
- Developing and maintaining scalable pipelines both Distributedreal-time and batch that integrate product usage, CRM, and billing systems to enable closed-loop revenue attribution.
- Leading implementation of a standardized telemetry framework across platforms, defining event contracts and solving identity resolution challenges across devices and products.




- Building data foundations for machine learning by partnering with data science to deliver feature pipelines, training datasets, and low-latency scoring infrastructure that accelerate experimentation.
- Establishing reliability and governance standards including data quality frameworks, monitoring, incident response, privacy compliance, and self-service data modeling practices.

What were looking for
- 8+ years of experience in Data Engineering / Distributed Systems.
- Demonstrate extensive experience designing and operating large-scale data platforms in production environments with measurable business impact.
- Build production-grade data pipelines using Python and advanced SQL, with a focus on performance optimization and reliability.
- Operate contemporary data warehouses (such as Snowflake or Databricks) and orchestration tools (such as Airflow or Dagster) to manage complex data workflows.
- Integrate diverse data sources inc

📌 Senior Data Engineer (India)
🏢 Zoom Start India
📍 India