Manager, Data Engineering

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. 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. Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.   This position is an onsite role based in Plano, TX       Who   we’re   looking for   Toyota Financial Services is on a mission to modernize how data is sourced, stored, and used across our global ecosystem.   We’re   looking for a strategic and hands-on   Manager   of   Data Engineering   to lead the vision, design, and implementation of our enterprise-wide   data acquisition   and ingestion platform—powering everything from analytics to AI   and Data Products in a Business Domain.       What   you’ll   be doing    Lead the   design, and execution of a modern, scalable   data acquisition   and analytical   platform to ingest data from internal systems, APIs,   microservices , and third-party sources.   Design ,   Build   robust   production- grade    pipelines   and   self-service tools   that enable software and data engineers to   acquire   data at scale—securely and efficiently.   Architect   cloud -native lake and   lakehouse   solutions ( AWS ,   Snowflake ) and implement multi-tenant capabilities to serve global Toyota entities.   Partner across   b usiness,   product,   data architecture , and platform teams to deliver an integrated, governed, and discoverable data ecosystem.   Define and champion data engineering best practices: data modeling, schema evolution, data contracts, testing strategies, lineage tracking, cataloging, and governance   Proactively communicate technical risks, tradeoffs, and recommendations to both   engineering and non-technical stakeholders   Collaborate closely with Engineering Managers, Product, Data Science, and Analytics to   shape data roadmaps and ensure the platform evolves with business needs   Design and implement data quality frameworks — validation rules, anomaly detection, freshness checks, and alerting — so downstream consumers can trust the data without   asking   Identify   and resolve systemic data issues: pipeline failures, data quality degradation, schema drift, latency in streaming systems, cost inefficiencies in storage and computing, and gaps in data observability   Lead and grow a high-performing team of   6 + engineers, setting a high bar for technical depth, delivery, and innovation.     What you bring    10–15+ years in   data engineering   and platform   tech   leadership roles .   Hands-on experience with enterprise-scale   data acquisition   methods ( CDC , APIs, file transfer, event streaming).   Deep knowledge of   cloud -based lake/