Senior Data Engineer – Enterprise Data Platform (Azure)

Rockwell Automation; Milwaukee (WI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance including Medical, 6k

401k

Paid Time off

Parental and Caregiver Leave

Flexible Work Schedule

Job summary

Rockwell Automation, based in Milwaukee, seeks a Data Engineer to design and deliver scalable data management solutions powering the Enterprise Common Data Model. You will collaborate with technical leads, analysts, architects, and product owners to shape data-driven innovation across the company.

Requirements include 8+ years in data or software engineering, expertise in Azure ADF/ADLS, SQL, Databricks, and SAP Data Services, plus strong DevOps and containerization skills.

Qualifications

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

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.

Skills

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS)

SQL

Databricks

SAP Data Services

Tabular models

DevOps practices

Cloud & edge architectures

Education

Bachelor's degree or equivalent years of relevant work experience

Tools

Azure ADF

ADLS

Job description

Rockwell Automation, based in Milwaukee, seeks a Data Engineer to design and deliver scalable data management solutions powering the Enterprise Common Data Model. You will collaborate with technical leads, analysts, architects, and product owners to shape data-driven innovation across the company.

Requirements include 8+ years in data or software engineering, expertise in Azure ADF/ADLS, SQL, Databricks, and SAP Data Services, plus strong DevOps and containerization skills.