Principal Data Architect

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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. ThroughCat 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 worldon real jobsites at global scale.

Youll build and deploy against one of the most unique data foundationsover 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 Whats 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 impossibleintelligent machines operating in dynamic jobsitesinto 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 these roles youll work at the intersection of the physical and digital worlds. Youll 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 Datais responsible for defining the data architecture that enables Physical AI and autonomous systems to learn reason and operate at scale. This role establishes the data domains canonical data models data products and architectural standards that transform vast amounts of jobsite machine sensor telemetry simulation and operational data into trusted reusable assets for AI development and autonomy. Working at the intersection of data AI digital twins and autonomy the architect provides technical leadership for how data is organized managed and delivered across the enterprise ensuring engineers and data scientists can efficiently develop train fine-tune validate and deploy next-generation AI models while accelerating innovation through scalable and reusable data products.

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 applications 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.

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.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Platform Architecture: Knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems; ability to design these roadmaps and deploy supportive interfaces for end-users to access related systems in accordance with standards and processes.
• Requirements Analysis: Knowledge of tools methods and techniques of requirement analysis; ability to elicit analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
• Target Architecture: Knowledge of target architecture; ability to develop the IT blueprint and roadmap while aligning the architecture and processes with business strategies and objectives roadmap while aligning the architecture and processes with business strategies and objectives

Top Candidates Will Have:

• Data Architecture & Domain Modeling: Demonstrated ability to define enterprise data domains canonical data models data contracts metadata strategies and scalable architectures that support complex AI and autonomy ecosystems.
• AI & Machine Learning Data Foundations: Deep understanding of the data requirements for AI model development including training data fine-tuning datasets feature engineering vector data model evaluation data synthetic data and data pipelines that support the AI lifecycle.
• Data Platforms & Data Products: Experience designing modern cloud and on-premise data platforms and data products architectures for massive data volumes and events including streaming data telemetry platforms APIs self-service data capabilities and reusable data assets that accelerate engineering and data science teams.
• Physical AI & Industrial Data Ecosystems: Knowledge of machine telemetry sensor data digital twins simulation data edge-to-cloud architectures and the unique challenges associated with autonomous systems and real-world operational data.
• Strategic Architecture Leadership: Ability to influence senior leaders define architectural roadmaps establish standards and patterns govern technology decisions and provide technical direction across multiple engineering organizations without direct authority.
• Progressive career in software engineering and architecture with a focus on data (typically 12 years)
• Strong understanding of Agile SDLC implementation in public cloud eco-system including environments management test automation peer review CI/CD resource optimization etc.
• Excellent communication skills and be able to deal with sensitive issues mentor and coach and/or persuade others on new technologies new applications or potential solutions.

Additional Details:

• This position requires the candidate towork full-time at the Irving TX office (Dallas)
• Relocation assistance is available for this position
• Visa sponsorship is available with this position.

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Summary Pay Range:

Compensation and benefits offered may vary depending on multiple individualized factors job level market locationjob-related knowledge skills individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility terms and guidelines. This is a summary list of benefits.

• Medical dental and vision benefits*

• Paid time off plan (Vacation Holidays Volunteer etc.)*

• 401(k) savings plans*

• Health Savings Account (HSA)*

• Flexible Spending Accounts (FSAs)*

• Health Lifestyle Programs*

• Employee Assistance Program*

• Voluntary Benefits and Employee Discounts*

• Career Development*

• Incentive bonus*

• Disability benefits

• Life Insurance

• Parental leave

• Adoption benefits

• Tuition Reimbursement

* These benefits also apply to part-time employees

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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