Principal Data Engineering Architect | AI & Cloud Platforms

Toyota North America; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Team Member Vehicle Purchase Discount

Toyota 401(k) plan with company match

Health care and wellness programs

Paid holidays and time off

Relocation assistance

Job summary

Toyota North America is seeking a Principal Engineer II, Data Engineering in Plano, TX to lead a data platform transformation within the Digital Innovations group of TMNA’s Supply Chain. You will guide architectural direction, drive scalable cloud-native data solutions, and collaborate with product teams and operations.

You will shape engineering standards, mentor teams, and ensure delivery excellence while advancing AI-enabled capabilities to improve efficiency and business outcomes.

Qualifications

• 8+ years designing and delivering complex enterprise data and software solutions.
• 5+ years of cloud-native data architecture on AWS, Databricks, and Azure.
• Experience leading cross-functional engineering teams across data products.

Responsibilities

• Define and advance the technical vision for large-scale supply chain data platforms.
• Lead architecture and design decisions across data products and development teams.
• Mentor data engineers, technical leads, and engineering managers to elevate technical excellence.
• Directly lead multiple development teams and establish delivery rhythms across parallel workstreams.
• Drive disciplined execution through scaled agile practices with clear user stories and acceptance criteria.

Skills

Data engineering

Cloud architecture

Leadership

AI/ML delivery

Python/PySpark

Distributed systems

Tools

AWS

Databricks

Azure

Job description

Toyota North America is seeking a Principal Engineer II, Data Engineering in Plano, TX to lead a data platform transformation within the Digital Innovations group of TMNA’s Supply Chain. You will guide architectural direction, drive scalable cloud-native data solutions, and collaborate with product teams and operations.

You will shape engineering standards, mentor teams, and ensure delivery excellence while advancing AI-enabled capabilities to improve efficiency and business outcomes.