About the job
At Scout Motors, we are proud to revive the legacy of one of America's most iconic vehicles, dating back to 1960. Our mission is to pave the way for future generations of rugged SUVs and trucks while honoring our heritage.
Scout Motors is more than just a brand; it's a commitment to exploration, responsibility, and hard work. We respect the past and embrace the future by electrifying and digitizing a classic American brand, infused with innovation. We value our communities by building a company that prioritizes its people and customers. We also respect the balance of work and leisure, creating vehicles that excel at job sites, campgrounds, and daily commutes. Our commitment to our customers is evident through our two unique powertrains: an all-electric option and the Harvesterâ„¢ range extender with an estimated 500 miles of combined range.
We empower our diverse and talented teams to innovate and drive change. A Scout employee is a visionary leader, eager to share insights and collaborate to build a better future. If you are passionate about making a difference, we want you on our team!
Join Scout Motors and help us shape the future of transportation. Ready to make history? Apply today!
About the Team
The Data Platform Team at Scout is committed to unlocking the power of data by creating a secure, scalable, and distributed platform that provides real-time insights and fosters innovation throughout our organization. Our goal is to equip teams with actionable intelligence by streamlining data sharing, ensuring compliance, maintaining data integrity, and optimizing costs.
This role focuses on establishing the foundation for deploying AI-driven use cases across the company.
Your Responsibilities
Become an integral part of a transformative brand within the electric pick-up truck and rugged SUV markets by:
- Contributing to the design, implementation, and maintenance of our cloud infrastructure data platform using modern Infrastructure as Code (IaC) practices.
- Collaborating closely with software development and systems teams to build efficient Data Integration solutions.
- Designing and developing Data models with tools such as Lucid, Talend, Erwin, and MySQL Workbench.
- Defining and enhancing enterprise data architecture.

