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 diverse, talented team members who want to Dream. Do. Grow. with us.

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

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.

This position is based in Plano, TX, with a hybrid mix of some in-office time and some remote work.

Who we’re looking for

The National Manager, Data Engineering – Data Modeling & Data Product Development will be responsible for managing a team of data modelers, data architects & data engineers specifically focused on building the tools and frameworks necessary to make our data teams more efficient and effective.

Key responsibilities include

• Lead multiple large and complex initiatives across Toyota Financial Services data engineering with a specific focus on data modeling, data architecture, and data tool & product development.
• Establish a clear vision and direction for data tooling for data engineers, software engineers, and our analytic teams.
• Enable our data engineering teams by developing tools and frameworks to streamline and accelerate the development of data pipelines and data solutions.
• Support our global partners by developing flexible solutions and platforms that can be used within Toyota Financial Services but also in partner organization in other countries.
• Own the Enterprise data model and data modeling standards for both data engineering and software engineering teams.
• Develop and implement a data modeling strategy that supports both realtime and batch data needs for analytics, data science, and applications.
• Drive collaboration with the Enterprise architecture team on data architecture and represent data to that team by ensuring critical issues are covered by Enterprise architecture.
• Oversee the development of integrated solutions across Toyota Financial Services data engineering by ensuring the right engineering practices and outcomes.

What you bring

• Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or equivalent degree or work experience
• Progressive work experience in Data Engineering, Software Engineering, Data Science, or related field or demonstrated expertise
• Deep development experience in distributed, analytical, cloud-based and open-source technologies
• Extensive programming experience in Python and/or Java, SQL
• Extensive experience coding and implementing data pipelines in cloud-based data infrastructure, analytical and no-SQL databases (AWS, Snowflake, MongoDB, Postgres)
• Broad, practical experience and application of multiple, different data modeling techniques such as data vault and dimensional modeling across Enterprise domains
• Broad experience with cloud based services such as AWS, Azure or GCP or equivalent certification
• Broad experience with docker and containerization
• Experience with multiple database technologies including both SQL and NOSQL databases
• Experience leading multiple development teams and senior engineers.
• Ability to develop and mentor both junior and senior engineers.
• Analytical and Problem-Solving skills with the ability to drive root cause analysis and implement corrective actions.
• Experience working in IT delivery and managing cross functional testing teams.
• Experience driving and leading change across a large organization.

Bonus if you have