About the role
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description Job Description As a Support Operations Data Engineer, you will support the stability, availability, and operational excellence of our enterprise data platform while developing and delivering reliable, scalable data management solutions. You will leverage DevOps methodologies and Microsoft Azure data platforms to design, integrate, transform, and manage critical business data. In this role, you will ensure high-quality data services through strong operational ownership, root cause analysis, incident reduction, and continuous improvement initiatives. You will play a critical role in delivering business value by ensuring platform reliability, proactively improving performance, and partnering with business stakeholders to build scalable data solutions that enable informed decision-making across the organization.Your
Responsibilities: Support the stability, availability, and performance of enterprise data platforms and services. Develop, maintain, and optimize data acquisition, integration, transformation, and delivery solutions using Azure-based technologies and data engineering best practices. Provide customer-focused support by meeting Service Level Agreements (SLAs), ensuring timely issue resolution, and maintaining accurate incident documentation. Perform root cause analysis and implement corrective actions to reduce recurring incidents and improve platform reliability. Collaborate with business stakeholders, product teams, and technical partners to understand data