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Industrial Solution Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Milwaukee Succeeds
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Austin, TX / Mayfield Heights, OH / Chicago, IL ... View All

Austin, Texas, United States
Mayfield Heights, Ohio, United States
Chicago, Illinois, United States
Troy, Michigan, United States
Milwaukee, Wisconsin, United States

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

As an Industrial Solution Architect, you will play a pivotal role in designing and implementing scalable, data‑driven solutions using Rockwell and partner technology, including Cognite Data Fusion (CDF), Factory Talk Data Mosaix, and Factory Talk Optix. You will collaborate with cross‑functional teams—including engineering, operations, and business stakeholders—to translate complex industrial challenges into digital solutions. Your expertise will help drive digital transformation across industries.

This position can work remotely.

Your Responsibilities

• Solution Design & Architecture
- Lead the design of end‑to‑end industrial data solutions
- Define data models, integration patterns, and system architectures aligned with business goals.
- Define end‑to‑end architectures leveraging Cognite Data Fusion, cloud platforms, and edge data ingestion technologies.
- Ensure scalability, security, and performance of deployed solutions.

• Stakeholder Engagement
- Collaborate with clients to understand business needs and translate them into technical requirements.
- Present architectural concepts to both technical and non‑technical audiences.

• Implementation & Delivery
- Lead project implementations in a client‑facing role.
- Guide development teams during implementation phases.
- Oversee data ingestion, contextualization, and visualization workflows.
- Oversee and develop ingestion pipelines, APIs, and integration services.
- Establish development standards, CI/CD practices, and code quality expectations.
- Act as the primary technical advisor for clients adopting our industrial data solutions.
- Ensure quality assurance and compliance with best practices.

• Technical Leadership
- Stay current with industry leading data platforms and industry trends.
- Mentor junior architects, developers, and engineers.
- Contribute to internal knowledge sharing and best practices.

The Essentials – You Will Have

• Bachelor’s Degree in Relevant Field.

• Legal authorization to work in the U.S. (We will not sponsor employment visas).

The Preferred – You Might Also Have

• Typically requires a minimum of 8 years of related experience.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of experience in solution architecture, data engineering, or software development.

• Strong understanding of industrial data systems (e.g., historians, SCADA, PLCs, MES, ERP).

• Hands‑on experience with Cognite Data Fusion, Factory Talk Data Mosaix, or similar industrial data platforms.

• Proficiency in cloud technologies, APIs, and data modeling.

• Experience with Python, SQL, and RESTful APIs.

• Familiarity with time‑series data and contextualization techniques.

• Knowledge of industrial domains such as oil & gas, manufacturing, or energy.

• Certifications in cloud and industrial data platforms, including Cognite.

• Experience leading technical teams and managing client‑facing delivery.

• Prior consulting or system integrator experience.

• Familiarity with machine learning model development and MLOps practices.

• Understanding of data governance, access management, and cybersecurity in industrial contexts.

• Excellent communication skills and ability to interact with both executive and technical stakeholders.

• Experience in asset…
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