Senior Data Platform Engineer

Data Platform Engineer Role overview 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. Key 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. Core technologies You will work primarily with: Azure Synapse Analytics Azure Data Factory SAP BusinessObjects Informatica Experience operating or supporting similar tools is also relevant. Experience with modern data stack We are looking for someone who either has, or is keen to develop, experience with a modern data stack, ideally including: AWS S nowflake dbt / SQLMesh for transformation and data modeling Git / GitHub and modern CI/CD practices for data and infrastructure Kubernetes (container‑based workloads and operations) Kafka or similar event streaming platforms IaaC (infrastructure‑as‑code) and platform automation Programming & scripting Solid scripting / programming skills for automation and tooling, ideally: SQL / Procedural SQL Python Bash Ability to build small tools and utilities to automate operational tasks, improve monitoring, or integrate systems. Qualifications 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. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. ... (truncated, view full listing at source)