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Caterpillar

Makes heavy machinery, engines and gas turbines

Principal Data Architect - AI-Ready Data & Annotations

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 organizational root causes and create alternative solutions.
  • Knowledge of platform architecture technologies and methods and ability to design processing mechanisms, roadmaps, and end-user interfaces according to standards and processes.
  • Knowledge of requirements analysis tools and techniques and ability to elicit, analyze, and document functional and non-functional requirements for system or software development projects.
  • Knowledge of target architecture and ability to develop an IT blueprint and roadmap aligned with business strategies and objectives.
  • Demonstrated ability to define enterprise data domains, canonical data models, data contracts, metadata strategies, and scalable architectures for 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 data 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, and autonomous-system and real-world operational data challenges.
  • 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 years or more.
  • Strong understanding of Agile software development life cycle implementation in public cloud ecosystems, including environment management, test automation, peer review, continuous integration and delivery, and resource optimization.
  • Ability to communicate effectively, handle sensitive issues, mentor and coach, and persuade others on technologies, applications, or potential solutions.

Responsibilities

  • Develop detailed architecture deliverables to solve business problems.
  • Design application technical infrastructure, including databases, programming languages, utilities, and testing approaches.
  • Define the enterprise framework for Physical AI-ready data products.
  • Establish standards for data product design, metadata, discoverability, quality, lineage, security, and lifecycle management.
  • Design reusable data objects and domain-oriented products that support Physical AI workloads.
  • Define data contracts and consumption interfaces to ensure consistent and reliable access across the organization.
  • Develop architecture standards integrating labeling, annotation, curation, evaluation, and feedback processes into data products.
  • Drive consistency across domains while enabling decentralized ownership and domain accountability.

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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