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Manager, Data Engineering

Toyota


Job Location:

Plano, TX - USA

Monthly Salary: Not provided by the employer
Posted: 3 July 2026 (30+ days ago)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

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 worlds 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. Were 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 Toyotas vision to move people beyond whats 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 workauthorization for this role now or in the future. You must have the right to work in the United States and not requireToyota support or sponsorship for immigration-related employment (e.g. H-1B O-1 E-3 H-1B1 TN F-1 OPT F-1 STEMOPT F-1 CPT job flexibility benefits also known as I-140 or Adjustment of Status portability etc.) now or in thefuture. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorshipnow or in the future.

This position is an onsite role based in Plano TX

Whowerelooking for

Toyota Financial Services is on a mission to modernize how data is sourced stored and used across our global ecosystem.Werelooking for a strategic and hands-onManagerofData Engineeringto lead the vision design and implementation of our enterprise-widedata acquisitionand ingestion platformpowering everything from analytics to AIand Data Products in a Business Domain.

Whatyoullbe doing

  • Lead thedesign and execution of a modern scalabledata acquisitionand analyticalplatform to ingest data from internal systems APIsmicroservices and third-party sources.

  • DesignBuildrobustproduction-gradepipelinesandself-service toolsthat enable software and data engineers toacquiredata at scalesecurely and efficiently.

  • Architectcloud-native lake andlakehousesolutions (AWSSnowflake) and implement multi-tenant capabilities to serve global Toyota entities.

  • Partner acrossbusinessproductdata 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 bothengineering and non-technical stakeholders

  • Collaborate closely with Engineering Managers Product Data Science and Analytics toshape 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 withoutasking

  • Identifyand 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 of6 engineers setting a high bar for technical depth delivery and innovation.

What you bring

  • 1015 years indata engineeringand platformtechleadership roles.

  • Hands-on experience with enterprise-scaledata acquisitionmethods (CDC APIs file transfer event streaming).

  • Deep knowledge ofcloud-based lake/lakehousearchitectures (AWSRedshiftSnowflake or similar).

  • Strong programming skills (PythonorJava) and experience withmicroservicesand 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.

Added bonusif you have

  • Advanced degree inComputer Science Engineering or related field.

  • AWS SolutionsArchitect certification or higher.

  • Experience building data catalogsmanaging dataprivacy andimplementinggovernance frameworks.

  • Exposure to big data ecosystems (HadoopSparkHiveetc).

  • Experience working inBankingorInsurancesectors dealing withvariousfinancial instrumentsor warranty policies.

What well bring

During your interview process our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

A work environment built on teamwork flexibility and respect

Professional growth and development programs to help advance your career as well as 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 as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)

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)

Relocation assistance (if applicable)


Belonging at Toyota


Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.


Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.


Have a question need assistance with your application or do you require any special accommodations Please send an email to .


Required Experience:

Manager


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