Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
Who we’re looking for
Toyota’s Corporate Shared Services Department is looking for a passionate and highly motivated Principal Engineer Data Analytics.
The primary responsibility of this role is to lead the design, development, and governance of a secure AWS platform while managing a cross-functional analytics team to deliver quantifiable economic benefits through advanced data modeling and business intelligence.
Reporting to the Manager – Systems, Data & Automation, the person in this role will support the CSS Projects Support department's objective to optimize cloud expenses, reduce reliance on external vendors, and accelerate data-driven decision-making across the organization.
What you’ll be doing
Manage a cross-functional analytics team, providing direction for architecture, design, development, and implementation.
Lead the design and expansion of the CSS data architecture, driving initiatives to enhance capabilities across AWS environments, and near real-time analytics.
Serve as the primary owner of the CSS data governance policy, supporting data security, access control, and data lifecycle policies in partnership with enterprise IT.
Meet with business stakeholders to gather technical requirements, consult on long-term roadmaps, and provide high value-added recommendations for complex business issues.
Create, maintain, and oversee high-performing ELT/ETL processes and databases to ensure reliable and efficient data delivery.
Extract insights using predictive modeling, cluster analysis, and visualization techniques to solve complex business problems and drive internal monetization.
Oversee the creation and maintenance of scalable, automated reporting frameworks to ensure timely and accurate data delivery.
Collaborate with cross-functional teams to translate complex data sets into clear, concise reports and dashboards.
Lead troubleshooting and performance tuning of data pipelines and analytics systems.
Drive innovation in data processing, storage, and analytics using cloud-native and big data technologies.
Manage mid-size, cross-functional projects independently, developing procedures and offering creative solutions within broad organizational policies.
What you bring
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant work experience.
7+ years of experience in data engineering, analytics, or related roles.
Proven leadership skills with experience managing projects and guiding consultant teams to successful outcomes.
Proven expertise in designing and implementing large-scale data platforms and pipelines.
Strong proficiency with SQL, Python, or other relevant programming languages.
Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Kafka, etc.).
Deep understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
Familiarity with BI tools (Tableau, Power BI, Looker) and data visualization’s best practices.
Experience with data governance, security, and compliance frameworks.
Experience meeting with business stakeholders to define requirements, provide status updates, and support business needs.
Excellent communication and collaboration skills.
Added bonus if you have
Advanced degree in a related technical or business field.
Proficiency with object-oriented programming languages such as GOLANG, R, Java, Scala, or C++.
Experience managing cloud budgets, optimizing AWS compute/storage costs, and implementing FinOps practices.
Experience with machine learning pipelines and MLOps.
Strong problem-solving skills and ability to work in a fast-paced environment.
What We’ll Bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
A work environment built on teamwork, flexibility and respect
Professional growth and development programs to help advance your career, as well as tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for your entire family
Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools and more
Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.
