Senior Data Platform Engineer

Overview

Gen is seeking a Data Platform Engineer for its Data Platform Operations team to own the day-to-day operation and monitoring of data platforms and pipelines, and drive continuous operational improvements.

What you'll do

• Operate and monitor data platforms (Azure and on-prem / legacy) to ensure availability, performance, and reliability.
• Run and support data processing workflows, including incident handling, troubleshooting failed jobs, and coordinating fixes with development teams.
• Implement and improve observability (monitoring, alerting, logging, SLAs/SLOs) for data platforms and pipelines.
• Drive continuous improvements in data platform operations, simplifying and automating recurring operational tasks.
• Reduce manual interventions and operational risk.
• Improve deployment, rollback, and change-management practices.
• Collaborate with data engineers and product teams to operationalize new data products and integrate them into existing platform standards.
• Contribute to operational documentation (runbooks, standards, best practices) and knowledge sharing across the data organization.
• Build small tools and utilities to automate operational tasks, improve monitoring, or integrate systems.

What you'll need

• Hands-on experience in data platform operations, data engineering, or a related role.
• Strong understanding of data processing concepts (batch, scheduling, dependencies, failures, backfills).
• Practical experience with at least some of the Azure data services and/or traditional ETL tools.
• Comfortable working with SQL and modern version-control workflows (branches, pull requests, code reviews).
• Problem-solving mindset with a focus on stability, reliability, and continuous improvement rather than one-off fixes.
• Good communication skills; able to work with both technical and non-technical stakeholders.
• Solid scripting / programming skills for automation and tooling.

Nice to have

• Experience with, or eagerness to develop experience with, a modern data stack, ideally including AWS, Snowflake, dbt / SQLMesh, Git / GitHub and modern CI/CD practices, Kubernetes, Kafka or similar event streaming platforms, and IaaC and platform automation.
• Scripting or programming skills ideally in SQL / Procedural SQL, Python, and Bash.

Details

• Location: Chennai, India.