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Caterpillar

Makes heavy machinery, engines and gas turbines

Principal Data Architect - Physical AI & Data Platform

Data ManagementConfirmed live in the last 24 hours
Full-timeIrving, TX, USA

About the Job

Requirements

  • Knowledge of data architecture processes, techniques, and factors, and ability to design blueprints integrating data resources for business processes and functional support.
  • Knowledge of analytical techniques and tools, and ability to identify root causes of organizational problems and develop alternative solutions.
  • Knowledge of platform architecture technologies and methods for designing processing mechanisms and roadmaps for business application systems, including deployment of interfaces in accordance with standards and processes.
  • Knowledge of requirements-analysis tools, methods, and techniques, and ability to elicit, analyze, and document business functional and non-functional requirements for system or software development projects.
  • Knowledge of target architecture and ability to develop IT blueprints and roadmaps aligned with business strategies and objectives.
  • Ability to define enterprise data domains, canonical data models, data contracts, metadata strategies, and scalable architectures for complex AI and autonomy ecosystems.
  • Deep understanding of AI model data requirements, including training data, fine-tuning datasets, feature engineering, vector data, model evaluation data, synthetic data, and AI-lifecycle data pipelines.
  • Experience designing modern cloud and on-premise data platforms and data product architectures for large volumes and events, including streaming data, telemetry platforms, APIs, self-service data capabilities, and reusable data assets.
  • Knowledge of machine telemetry, sensor data, digital twins, simulation data, edge-to-cloud architectures, autonomous systems, and real-world operational data.
  • 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 focused on data, typically 12 or more years.
  • Strong understanding of Agile software development life cycle implementation in public cloud ecosystems, including environment management, test automation, peer review, continuous integration and continuous delivery, and resource optimization.
  • Ability to communicate effectively, handle sensitive issues, and mentor, coach, or persuade others about technologies, applications, and solutions.
  • Ability to work full-time onsite at the Irving, Texas office five days a week.

Responsibilities

  • Develop detailed architecture deliverables to solve business problems.
  • Design application technical infrastructure, including databases, programming languages, utilities, and testing approaches.
  • Define patterns for data ingestion, transformation, storage, and lifecycle management to support resilient, observable, high-performing data ecosystems for Physical AI workloads.
  • Develop platform guardrails for observability, performance monitoring, resilience, security, retention, and disaster recovery.
  • Evaluate emerging technologies and recommend platform strategies for future business and Physical AI needs.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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