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Principal Digital Architect - Onboard & Site Data

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: RiseMe
Full Time position
Listed on 2026-09-27
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 170000 - 225000 USD Yearly USD 170000.00 225000.00 YEAR
Job Description & How to Apply Below

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you'rejoining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Help Build the Future of Caterpillar –

At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale.

You’ll build and deploy against one of the most unique data foundations—over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Be

Part of What’s Next in Autonomous Construction Sites

Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible—intelligent machines operating in dynamic jobsites—into reality.

Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.

If this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.

Job Summary:

The Principal Digital Architect for Onboard & Site Data is responsible for defining the data architecture that enables Physical AI and autonomous systems to learn, reason, and operate s role defines the data contracts that enable reliable information flow from machine and site systems into enterprise ingestion platforms. This role establishes standards for data exchange, schemas, naming conventions, metadata, and interface requirements.

Working closely with perception architects, data engineering, and platform teams.

Bottom line, you are creating the data foundation that enables AI innovation at scale.

What You Will Do:
  • Developing detailed architecture deliverables to solve business problems.
  • Designing an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches.
  • Leading the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities.
  • Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver digital solutions that meets business results.
  • Define contracts between sensor information and ingestion.
  • Standardize schemas, semantics, timestamps, units, identity, and metadata.
  • Specify quality, completeness, latency, and versioning expectations.
What

You Will Have:
  • Data Architecture: Knowledge of processes, techniques and factors that affect data architecture; ability to design blueprints on how to integrate data resources for business processes and functional support.
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