Data Engineer

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 Data Platform Engineer – Enterprise Common Data Model / Common Data Layer (CDM/CDL) Pune / Bangalore / Noida, India Position Summary As a Senior Data Platform Engineer – Enterprise Common Data Model/Common Data Layer (CDM/CDL), you will design, develop, and deliver scalable data management solutions that power Rockwell Automation's Enterprise Data Platform. You will report to the Technical Leader – CDM/CDL and work in a hybrid capacity. You will collaborate with technical leads, analysts, architects, integration teams, product owners, and business stakeholders to build and evolve enterprise data products, canonical data models, and scalable data services that enable trusted, reusable, and governed data across the organization. Your Responsibilities Design, develop, and maintain relational and canonical data models using Azure SQL Database, including tables, views, stored procedures, functions, keys, constraints, and indexes. Develop high-quality, performant T-SQL code and optimize database performance through query tuning, indexing strategies, dependency analysis, and controlled schema management. Design, build, test, and maintain data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS services and DevOps methodologies. Architect data structures and pipelines that enable "Data as a Service" capabilities across business units while ensuring scalability, reliability, security, and performance. Collaborate with integration teams to define data contracts, database interfaces, and enterprise integration patterns. Contribute to the evolution of the CDM/CDL platform using technologies such as Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Microsoft Fabric, Azure Data Factory, and Azure Integration Services. Manage CI/CD pipelines, release processes, and deployment automation using Azure DevOps and Git-based workflows. Support containerization and cloud deployment practices that enable scalable and resilient platform operations. Work closely with analysts, product owners, architects, and business stakeholders to understand requirements and deliver high-quality enterprise data solutions. Support data governance, data quality, metadata management, and enterprise architecture initiatives. The Essentials – You Will Have