Manufacturing Data Architect

The Team:

Join a dynamic and forward-thinking team in Dallas that’s driving digital transformation across manufacturing operations. We are a cross-functional group of experts in operations, engineering, IT, and data analytics, working together to design cutting-edge data solutions that improve real-time decision-making and production performance. Be part of a collaborative environment where your expertise will help shape the future of smart manufacturing.\

The Role:

We’re seeking a Manufacturing Data Architect to lead the design and implementation of IIoT and industrial data platforms that support plant telemetry, process automation, and edge data processing. You will architect cloud-native data lakes (Snowflake, AWS) and integrate real-time machine and sensor data into centralized systems for predictive maintenance, performance optimization, and enterprise analytics. In this role, you’ll define architectural standards, data modeling frameworks, and edge-to-cloud integration strategies while partnering with cross-functional teams to deliver scalable and secure data solutions aligned with Industry 4.0 goals.

What you'll bring:

• 10+ years of experience in data architecture, with a focus on manufacturing or industrial environments

• Proven experience building and scaling IIoT or industrial data lakes on AWS, Snowflake, or Azure

• Hands-on knowledge of plant telemetry, process data, and edge processing tools and frameworks

• Experience integrating MES, SCADA, and ERP systems into enterprise data platforms

• Proficiency with IIoT toolsets and protocols (e.g., MQTT, OPC-UA, Azure IoT, AWS IoT Core)

• Strong background in data modeling, governance, and real-time data ingestion and transformation

• Familiarity with Medallion or Data Vault architecture and modern lakehouse patterns

• Effective communication and collaboration across technical and non-technical teams

• Cloud certifications (AWS, Azure, or GCP) and knowledge of secure data design principles

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

Preferred Qualifications:

• Experience with Industry 4.0, digital twins, and smart manufacturing.
• Familiarity with manufacturing KPIs, lean principles, and continuous improvement.
• Certifications in cloud platforms (Azure, AWS, GCP) or data architecture frameworks.

About us

We’re a global team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

#LI-YM1

Championing diversity, equity, and inclusion 

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.