Data Platform Engineer managing daily operations of data platforms for a global cybersecurity company. Collaborating with teams to ensure platform reliability and performance.
Responsibilities
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
Requirements
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
Good communication skills; able to work with both technical and non‑technical stakeholders
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