Lead Digital Architect for Physical AI & Data Platform

Caterpillar Inc.; Irving (TX); On-site; USD 159,000 - 259,000; 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

Incentive bonus

Relocation assistance

Visa sponsorship

Job summary

Caterpillar is seeking a Principal Digital Architect for Physical AI Data Platform to define enterprise-wide architecture supporting streaming, batch, analytics and AI workloads. You will architect scalable data ingestion, storage, governance and lifecycle patterns in partnership with engineering and cloud teams.

You will influence strategic roadmaps, drive standards, and ensure security, resilience and observability across the data ecosystem for real-world AI at scale.

Qualifications

• Define enterprise data domains, canonical data models and data contracts.
• Design blueprints to integrate data resources for business processes.
• Lead data architecture decisions across multiple teams.

Responsibilities

• Develop architecture deliverables to solve business problems.
• Design infrastructure and select databases, languages, and testing approaches.
• Define patterns for data ingestion, storage and lifecycle management.
• Develop platform guardrails for observability, performance and security.
• Evaluate emerging technologies and advise platform strategies.

Skills

Data Architecture

Analytical Thinking

Platform Architecture

Requirements Analysis

Target Architecture

Data Domains

AI Data Foundations

Data Platforms

Industrial Data

Strategic Leadership

Agile SDLC

Communication Skills

Education

12+ years in software engineering & architecture

Job description

Caterpillar is seeking a Principal Digital Architect for Physical AI Data Platform to define enterprise-wide architecture supporting streaming, batch, analytics and AI workloads. You will architect scalable data ingestion, storage, governance and lifecycle patterns in partnership with engineering and cloud teams.

You will influence strategic roadmaps, drive standards, and ensure security, resilience and observability across the data ecosystem for real-world AI at scale.