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# Senior Data Engineer - CMD/CML

- **Company:** Rockwell Automation, Inc.
- **Location:** Mayfield Heights, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Agile Methodology, Microsoft Azure, Continuous Integration, Data Structures, DevOps, Data Intelligence, Platform as a Service (PAAS), Systems Development Life Cycle, SAP NetWeaver Data Management, Software Engineering, SQL Databases, Delivery Pipeline, Data Layers, Containerization, Data Management, Databricks, Programming Languages
- **Published:** October 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18506627?backUrl=%2Fcareer%2F18506627%2FSenior-Data-Engineer-Cmd-Cml-Ohio-Mayfield-Heights

## About the Role

* Bachelor's Degree or equivalent years of relevant work experience.

The Preferred - You Might Also Have:

 * Typically requires 8+ years of relevant experience in data of software engineering.
 * Experience in the full systems development lifecycle and Agile methodologies.
 * Proficiency in data management technologies such as Azure ADF, ADLS, SQL, Databricks, SAP Data Services, and tabular models.
 * Strong understanding of server-side architectures, containerization, and DevOps practices.
 * Ability to manage multiple projects simultaneously and adapt quickly to new technologies and business needs.

 * Familiarity with open-source data management tools and domain-specific programming languages.
 * Experience working with business stakeholders to translate data into actionable insights.
 * Experience distilling complex data into clear narratives and recommendations.
 * Exposure to enterprise architecture and cross-functional collaboration in a global environment.

## Description

As a Data Engineer -Enterprise Common Data Model/Common Data Layer, you will design, develop, and deliver scalable data management solutions that power Rockwell Automation's Enterprise. You will report to the Technical Leader for our Common Data Model / Common Data Layer team. You will collaborate with technical leads, analysts, architects, and product owners to shape the future of data-driven innovation across the enterprise.
Your Responsibilities:

 * Design, code, and test new data management solutions, including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies.
 * Architect data structures and pipelines to enable "Data as a Service" across business units, ensuring scalability, reliability, and performance.
 * Develop and test infrastructure components in cloud and edge environments, leveraging tools like Azure ADF, ADLS, Databricks, and SAP Data Services.
 * Manage DevOps pipelines for continuous integration and deployment, and implement containerization models to support scalable deployments.
 * Collaborate with analysts, product owners, and business stakeholders to define requirements, write high-quality code, and support application enhancements.


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