Manager, Data Engineering
Toyota North America•Plano, TX
•Onsite
About The Position
Toyota Financial Services (TFS) is modernizing how data is sourced, stored, and used across its global ecosystem. This role will lead the vision, design, and implementation of an enterprise-wide data acquisition and ingestion platform, supporting analytics, AI, and Data Products within a Business Domain. This is an onsite role based in Plano, TX.
Requirements
- 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/lakehouse architectures (AWS, Redshift, Snowflake, or similar).
- Strong programming skills (Python or Java) and experience with microservices and APIs.
- Proven ability to design and implement scalable, secure, and governed data platforms.
- Exceptional communication skills, with the ability to align business and technical stakeholders.
Nice To Haves
- Advanced degree in Computer Science, Engineering, or related field.
- AWS Solutions Architect certification or higher.
- Experience building data catalogs, managing data privacy, and implementing governance frameworks.
- Exposure to big data ecosystems (Hadoop, Spark, Hive, etc).
- Experience working in Banking or Insurance sectors dealing with various financial instruments or warranty policies.
Responsibilities
- 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 and 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 business, 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.
Benefits
- A work environment built on teamwork, flexibility, and respect
- Professional growth and development programs
- 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
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
