Senior Data Platform Engineer

We are looking for a Data Platform Engineer to join our Data Platform Operations team. In this role, you will own the day‑to‑day operation and monitoring of our data platforms and pipelines, and drive continuous improvements from an operational and maintenance perspective.

You will work closely with data engineers, analysts, and platform teams to ensure our data platforms are stable, observable, cost‑efficient, and ready to support new use cases.

- 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:

- Simplify and automate 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.

- 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 listed above.

- 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.