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Rockwell Automation

Senior Data Architect – CMD/CML

Rockwell Automation

. Design, code, and test new data management solutions, including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies .

Posted 10/8/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing data management solutions using Microsoft Azure tools, with a strong focus on DevOps methodologies and Agile practices. Capable of architecting scalable data structures and pipelines while collaborating effectively with cross-functional teams to drive data-driven innovation.

Highest-signal resume keywords
Microsoft Azure ADFData Management TechnologiesDevOps PracticesAgile MethodologiesSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AcquisitionData IntegrationData TransformationContainerizationServer-Side ArchitecturesInfrastructure DevelopmentData PipelinesTabular ModelsData AnalysisSoftware Engineering
Soft Skills
CollaborationProject ManagementAdaptabilityCommunicationProblem-Solving
Tools & Technologies
Microsoft Azure PaaSDatabricksSAP Data ServicesDevOps PipelinesOpen-Source Data Management Tools
Industry Keywords
Data as a ServiceEnterprise ArchitectureCross-Functional CollaborationData-Driven InnovationFull Systems Development Lifecycle

Tech Stack

Tools & technologies
AzureCloudSQL

About the role

Key responsibilities & impact
  • 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 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
  • Report to the Technical Leader for the Common Data Model / Common Data Layer team
  • Collaborate with technical leads, analysts, architects, and product owners to shape enterprise data-driven innovation

Requirements

What you’ll need
  • Bachelor's Degree or equivalent years of relevant work experience
  • Typically requires 8+ years of relevant experience in data or 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

Benefits

Comp & perks
  • Health Insurance including Medical, Dental, Life and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.