Senior Digital Architect: Onboard & Site Data for AI

Caterpillar Brazil; Irving (TX); On-site; USD 148,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career Development

Relocation assistance

Visa sponsorship

Incentive bonus

Life Insurance

Parental leave

Tuition Reimbursement

Job summary

Caterpillar is seeking a Principal Digital Architect for Onboard & Site Data to define data architecture enabling Physical AI and autonomous systems at scale. You will set data contracts, schemas, and metadata standards while coordinating with perception, engineering and platform teams.

Key focus areas include enterprise data domains, canonical models, and scalable architectures to support AI, edge-to-cloud, and autonomous machinery across global operations.

Qualifications

• Experience defining enterprise data domains and canonical data models.
• Ability to elicit and document functional and non-functional requirements.
• Knowledge of data contracts, metadata strategies and scalable architectures.

Responsibilities

• Develop detailed architecture deliverables to solve business problems.
• Define data contracts and standardize schemas, timestamps and metadata.
• Lead evaluation and deployment of new technologies in digital platforms.
• Collaborate with sensors, ingestion, and enterprise teams to enable AI at scale.
• Specify quality, latency and versioning expectations for data feeds.

Skills

Data Architecture

Domain Modeling

AI & ML Data Foundations

Analytical Thinking

Requirements Analysis

Target Architecture

Strategic Architecture Leadership

Data Contracts & Metadata

Communication Skills

Job description

Caterpillar is seeking a Principal Digital Architect for Onboard & Site Data to define data architecture enabling Physical AI and autonomous systems at scale. You will set data contracts, schemas, and metadata standards while coordinating with perception, engineering and platform teams.

Key focus areas include enterprise data domains, canonical models, and scalable architectures to support AI, edge-to-cloud, and autonomous machinery across global operations.