Values

The ad says“Certifications in cloud and industrial data platforms”
The ad says“Understanding of data governance, access management, and cybersecurity in industrial contexts.”
The ad says“Experience in asset performance management, production monitoring, or advanced process control”
The ad says“Proficiency in cloud technologies, APIs, and data modeling.”
The ad says“Experience in asset performance management, production monitoring, or advanced process control”
The ad says“Proficiency in cloud technologies, APIs, and data modeling.”
The ad says“Hands-on experience with Cognite Data Fusion, FactoryTalk Data Mosaix, PTC ThingWorx, or similar industrial data platforms.”
The ad says“Familiarity with time-series data and contextualization techniques.”
The ad says“Understanding of data governance, access management, and cybersecurity in industrial contexts.”
The ad says“Understanding of data governance, access management, and cybersecurity in industrial contexts.”
The ad says“Proficiency in cloud technologies, APIs, and data modeling.”
The ad says“Knowledge of industrial domains such as mining, oil & gas, manufacturing, or energy.”
The ad says“Hands-on experience with Cognite Data Fusion, FactoryTalk Data Mosaix, PTC ThingWorx, or similar industrial data platforms.”
The ad says“Familiarity with machine learning model development and MLOps practices.”
The ad says“Knowledge of industrial domains such as mining, oil & gas, manufacturing, or energy.”
The ad says“Knowledge of industrial domains such as mining, oil & gas, manufacturing, or energy.”
The ad says“Familiarity with machine learning model development and MLOps practices.”
The ad says“Knowledge of industrial domains such as mining, oil & gas, manufacturing, or energy.”
The ad says“Experience in asset performance management, production monitoring, or advanced process control”
The ad says“Hands-on experience with Cognite Data Fusion, FactoryTalk Data Mosaix, PTC ThingWorx, or similar industrial data platforms.”
The ad says“Experience with Python, SQL, and RESTful APIs.”
The ad says“Experience with Python, SQL, and RESTful APIs.”
The ad says“Experience with Python, SQL, and RESTful APIs.”
The ad says“Familiarity with time-series data and contextualization techniques.”

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 a Senior Solution Architect, you will own solution architecture and technical delivery across industrial data engagements. You will lead engagement teams, define solution architectures and integration strategies, and serve as primary technical advisor to clients deploying industrial data platforms.

As a Senior 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), FactoryTalk Data Mosaix, and FactoryTalk 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.

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 industrial data management solutions, 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.
Willingness to travel up to 50%
Typically 6-10 years of related experience working for a Systems Integrator or Consulting organization.
Strong understanding and practical experience implementing industrial data systems (e.g., historians, SCADA, PLCs, MES, ERP).
Experience leading technical teams and managing client-facing delivery.

The Preferred - You Might Also Have:

5+ years of experience in solution architecture, data engineering, or software development.
Hands-on experience with Cognite Data Fusion, FactoryTalk Data Mosaix, PTC ThingWorx, 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 mining, oil & gas, manufacturing, or energy.
Certifications in cloud and industrial data platforms
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 performance management, production monitoring, or advanced process control

What We Offer:

A dynamic and supportive work environment that encourages innovation and growth.
Opportunities for professional development and career advancement.
Competitive compensation and benefits package.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

#LT-Hyrbid #LT-CT1

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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