Principal Engineer II — Data Engineering
Toyota North AmericaResponsibilities
- Define the technical vision and architecture for large-scale supply chain data platforms on AWS, Databricks, and Azure.
- Lead architecture and design decisions across data products and development teams, balancing scalability, resiliency, security, maintainability, delivery speed, and cost.
- Provide technical leadership across discovery, architecture, implementation, deployment, and operational support for big data and AI/ML workloads.
- Mentor data engineers, technical leads, and engineering managers while raising engineering capability and standards.
- Lead or coordinate multiple development teams when needed by setting priorities, managing dependencies, and establishing delivery rhythms.
- Partner with product, operations, architecture, platform, and business stakeholders to create technical roadmaps and execution plans.
- Champion cloud-native architecture, DevSecOps automation, observability, reliability engineering, governance, and high-quality software delivery.
- Set standards for AI-assisted engineering, including appropriate review, security, governance, and code-quality practices.
- Run time-boxed experiments and prototypes involving architecture, tooling, and emerging technologies, turning successful approaches into standards.
- Provide senior leadership with visibility into technical direction, delivery health, risks, tradeoffs, and key decisions.
- Stay connected with supply chain operations so platform architecture reflects real-world business processes.
Requirements
- 8+ years designing and delivering complex enterprise data and software solutions, including large-scale transformation initiatives.
- 5+ years of cloud-native data architecture experience with AWS, Databricks, and Azure.
- 5+ years delivering data solutions using Python, PySpark, SQL, Databricks, Apache Spark, AWS Redshift, and streaming frameworks.
- Expertise in data architecture, distributed data processing, domain-driven design, scalable data platforms, and technical decision-making.
- Experience with streaming and event-driven systems, data governance, security, observability, reliability, operational excellence, and platform engineering.
- Experience designing and implementing AI/ML solutions involving data preparation, model integration, inference workflows, and automation use cases.
- Experience with AWS AI/ML services such as SageMaker and Bedrock.
- Demonstrated ability to set technical direction, influence across multiple teams, mentor senior engineers, and lead or coordinate software development teams.
- Experience aligning roadmaps, managing dependencies, driving execution, and working in cross-functional or fusion-team environments.
- Experience using AI as an engineering assistant and establishing team standards for quality, security, review, and effective adoption.
- Ability to balance technical excellence, delivery outcomes, AI-enabled engineering, cost optimization, and business needs.
- Strong communication skills for explaining technical strategy, tradeoffs, and delivery status to technical and non-technical audiences.
- Preferred qualifications include experience with globally distributed teams, supply chain or manufacturing platforms, AWS or Databricks certifications, SAFe or other agile certifications, LLMs, AI agents, AI-assisted development platforms, and enterprise technology adoption.
Benefits
- Teamwork-focused, flexible, and respectful work environment.
- Professional growth and development programs and tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program where applicable.
- Comprehensive health care and wellness plans for the employee’s family.
- Toyota 401(k) Savings Plan with company match and an annual retirement contribution where applicable.
- Paid holidays and paid time off.
- Referral services for prenatal services, adoption, childcare, schools, and related needs.
- Tax-advantaged Health Savings Account, Health Care FSA, and Dependent Care FSA accounts.
- Relocation assistance where applicable.
- Position based at Toyota Motor North America Headquarters in Plano, Texas.
Tech Stack
Categories
About Toyota North America
Mundialmente, a Toyota construiu, ao longo de mais de 80 anos, um modelo de negócio reconhecido por suas bases de eficiência e busca contínua da produtividade, movida pela ambição de colaboradores aptos a oferecer soluções de mobilidade cada vez melhores às pessoas. No Brasil, em mais de 65 anos de história, a marca consolidou-se ao construir um legado pautado na busca incansável pela melhoria contínua de processos, estratégias, produtos e serviços, além de solidificar cada relacionamento no decorrer dos anos pelo viés do Respeito pelas Pessoas e Contribuição com a Sociedade – valores transversais da cultura da corporação. Aqui no País, a subsidiária da Toyota mantém ativamente três unidades produtivas: Indaiatuba, Sorocaba e Porto Feliz (todas localizadas no Estado de SP), e orgulha-se por deter o título de primeira operação fora do Japão, quando iniciou atividades no município de São Bernardo do Campo, em meados de 1962. Para mover este legado adiante, a empresa conta com 6.000 colaboradores, sempre aptos a vencer desafios do cotidiano do setor e aprimorar competências que são fundamentais para o surgimento de talentos fundamentais para o futuro da companhia no Brasil.