FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloudSQL
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.