DATA Architect - Lead Systems Engineer

About AutoZone:

AutoZone is the nations leading retailer and a leading distributor of automotive replacement parts and accessories with more than 6,000 stores in US, Puerto Rico, Mexico, and Brazil. Each store carries an extensive line for cars, sport utility vehicles, vans and light trucks, including new and remanufactured hard parts, maintenance items and accessories. We also sell automotive diagnostic and repair software through ALLDATA, diagnostic and repair information through ALLDATAdiy.com, automotive accessories through AutoAnything.com and auto and light truck parts and accessories through AutoZone.com. Since opening its first store in Forrest City, Ark. on July 4, 1979, the company has joined the New York Stock Exchange (NYSE: AZO) and earned a spot in the Fortune 500. AutoZone has been committed to providing the best parts, prices, and customer service in the automotive aftermarket industry. We have a rich culture and history of going the Extra Mile for our customers and our community. At AutoZone you’re not just doing a job; you’re playing a crucial role in creating a better experience for our customers, while creating opportunities to DRIVE YOUR CAREER almost anywhere! We are looking for talented people who are customer focused, enjoy helping others and have the DRIVE to excel in a fast-paced environment!

Position Summary

The Senior Data Architect is a senior technical leader responsible for building and optimizing a robust data platform in the automotive industry. In this full-time role, you will lead a team of data engineers and own the end-to-end architecture and implementation of the GCP Data Lake house platform. You will collaborate closely with function leaders, domain analysts and other stakeholders to design scalable data solutions that drive business insights. This position demands deep expertise in GCP Data Lake, and ability to build end-to-end data pipelines that handle large volumes of structured, semi structured and unstructured data. You will demonstrate strong leadership to ensure best practices in data engineering, performance tuning, and governance. You will be expected to communicate complex technical concepts and data strategies to technical and non-technical audiences including executive leadership.