Principal Engineer II — Data Engineering

Toyota North America•Plano, TX

8d•Onsite

About The Position

Toyota Motor North America’s Digital Innovations group within its Supply Chain organization is seeking a Principal Engineer II, Data Engineering to lead technical strategy and execution for supply chain data platform transformation initiatives. This principal-level engineering leadership role combines deep technical expertise, architectural direction, and accountability for delivery across complex data and software portfolios. The position is based at Toyota Motor North America Headquarters in Plano, Texas, and reports to the Senior Manager, Digital Innovations. The Principal Engineer sets technical direction, leads complex engineering decisions, and guides execution across multiple development teams in alignment with business priorities. The role also shapes team operating models and delivery practices, and may directly lead one or more engineering teams as needed. The engineer partners with engineering leaders, enterprise architects, product teams, and business stakeholders to deliver scalable data solutions, remove execution barriers, and produce measurable business impact. The role advances AI-enabled delivery capabilities to improve engineering productivity, execution speed, and solution quality. The engineer works in fusion teams comprising engineers, product professionals, and supply chain operators who share goals and a backlog. Team assignments can change as priorities shift across the supply chain. This role helps teams succeed while maintaining consistent engineering standards as people move between them. The position advances engineering standards, digital transformation, and delivery excellence across supply chain data platforms.

Requirements

At least 8 years designing and delivering complex enterprise data and software solutions, including large-scale transformation initiatives.
At least 5 years of deep experience with cloud-native data architecture on AWS, Databricks, and Azure, distributed systems, modern integration patterns, and scalable platform design.
At least 5 years delivering modern data solutions using technologies such as Python, PySpark, SQL, Databricks, Apache Spark, AWS Redshift, and streaming frameworks, with contemporary DevOps and platform-engineering practices.
Demonstrated success setting technical direction, influencing multiple teams, and partnering with engineering, product, architecture, and business stakeholders.
Ability to balance technical excellence, delivery outcomes, AI-enabled engineering capabilities, and cost optimization in a complex enterprise environment.
Demonstrated use of AI as an assistant in personal engineering work and experience increasing that capability across a team while maintaining quality, security, and review standards.
Track record of finding root causes of difficult, ambiguous problems and understanding the business problem before selecting a solution.
Experience leading in a cross-functional team model where engineering and operations share a goal, and comfort re-forming teams as priorities change.
Expertise in data architecture, distributed data processing, domain-driven design, and technical decision-making for scalable data platforms.
Ability to lead complex design discussions covering cloud-native data architectures, streaming and event-driven systems such as Kinesis and Kafka/MSK, data governance, security, observability, reliability, and operational excellence.
Experience designing and implementing AI/ML solutions, including data preparation, model integration, inference workflows, and automation use cases, with familiarity with AWS AI/ML services such as SageMaker and Bedrock.
Demonstrated ability to incorporate cost-optimization principles into architecture, cloud platform decisions, and engineering delivery.
Experience integrating data, analytics, and AI/ML capabilities into production-grade enterprise platforms.
Experience leading or coordinating multiple software development teams across complex enterprise initiatives.
Demonstrated ability to mentor senior engineers and technical leads, influence without authority, and step into direct leadership when needed.
Strong experience aligning roadmaps, managing dependencies, and driving execution across cross-functional stakeholders and shared priorities.
Ability to lead adoption of AI-enabled delivery capabilities across teams with appropriate standards, governance, and enablement.
Excellent communication skills, including the ability to explain technical strategy, tradeoffs, and delivery status to technical and non-technical audiences.
Must have the right to work in the United States without requiring Toyota immigration support or sponsorship now or in the future.

Nice To Haves

Experience in globally distributed, high-performing teams and asynchronous delivery environments.
Experience leading or contributing to large-scale transformation initiatives.
Experience with enterprise-scale supply chain, manufacturing, logistics, or fulfillment platforms.
AWS certifications, such as Solutions Architect or Data Analytics Specialty, or Databricks certifications.
SAFe or other agile delivery certifications.
Experience developing innovative tooling that improves cross-functional productivity and engineering effectiveness.
Experience building with LLMs, AI agents, or AI-assisted development platforms in production enterprise environments.
Experience introducing emerging technology into an enterprise organization, from evaluation and pilot through standards and adoption.

Responsibilities

Define and advance the technical vision for large-scale supply chain data platforms built on AWS, Databricks, and Azure, aligning them with business priorities, enterprise architecture, and long-term scalability objectives.
Lead architecture and design decisions across data products and development teams, balancing speed, quality, resiliency, security, maintainability, and cost optimization.
Provide principal-level technical leadership throughout the data solution lifecycle, from discovery and architecture through implementation, deployment, and operational support for big data and AI/ML workloads.
Mentor data engineers, technical leads, and engineering managers to strengthen technical excellence and engineering capability.
When needed, directly lead multiple development teams by setting priorities, coordinating execution, and establishing delivery rhythms across parallel workstreams.
Drive disciplined execution through scaled agile delivery practices, including clear user stories, defined acceptance criteria, dependency management, risk mitigation, and measurable outcomes.
Partner with product, operations, architecture, and platform teams to turn strategic priorities into technical roadmaps and execution plans for cloud data, analytics, and AI/ML solutions.
Lead technical discussions and challenge design decisions to ensure solutions meet business objectives, technical feasibility, data governance, and operational excellence standards.
Establish and champion cloud-native architectures, DevSecOps automation, observability, reliability engineering, and high-quality software delivery practices.
Identify cross-team dependencies and organizational bottlenecks, and drive alignment and decisions across engineering teams and stakeholders.
Provide senior leadership with visibility into technical direction, delivery health, risks, tradeoffs, and key decisions.
Set standards for AI-assisted engineering, using AI in personal work and defining how teams apply it with appropriate review, security, and code-quality expectations.
Run time-boxed experiments and prototypes involving architecture, tooling, and emerging technology, and turn successful results into standards.
Stay close to supply chain operations so architecture and design decisions reflect how the work is performed.
Champion accountability, curiosity, experimentation, continuous learning, technical excellence, and inclusive leadership across the engineering organization.

Benefits

Professional growth and development programs
Tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program, if applicable
Comprehensive health care and wellness plans for the entire family
Toyota 401(k) Savings Plan with company match and an annual retirement contribution regardless of employee contribution, if applicable
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools, and more
Tax-advantaged accounts, including Health Savings Account, Health Care FSA, and Dependent Care FSA
Relocation assistance, if applicable
A work environment built on teamwork, flexibility, and respect