Principal Engineer - Data Platform Engineer

TMN Toyota Motor North America Company; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Teamwork environment

Professional growth

Vehicle purchase discount

Lease vehicle program

Health care plans

401(k) company match

Paid holidays and PTO

Referral services

Tax-advantaged accounts

Job summary

Toyota Motor North America Company seeks a Data Platform Engineer to design and maintain scalable cloud and on-prem data platforms, enabling AI accelerators and self-service capabilities.

You will lead the development of data lakes, data warehouses, and ML workloads, drive IaC and CI/CD, and collaborate with security and architecture teams to align with enterprise strategy.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field, or 7+ years of relevant experience.
• Strong experience with enterprise data platforms across AWS, Linux, and Windows environments.
• Hands-on experience with Tableau, Power BI, Alteryx, Datadog, and related tools.

Responsibilities

• Design, deploy and optimize enterprise analytics platforms supporting BI and AI workloads.
• Lead the design and lifecycle of scalable data lakes, data warehouses, and AI workloads.
• Engineer provisioning, governance, and lifecycle management of AWS services and data tooling.
• Build and maintain CI/CD and MLOps pipelines with automated testing and release governance.
• Support data engineering solutions using Spark, Python, Scala, Databricks, and ELT/ETL.
• Collaborate with data architects, security and stakeholders to align platform roadmaps.
• Provide technical leadership and mentorship, promoting cloud-native patterns and automation.
• Implement cloud security controls, health checks, monitoring, and cost observability.

Skills

Cloud automation

Infrastructure as Code

DevOps

MLOps

Python

SQL

Spark

Scala

Leadership

Education

Bachelor’s degree in Information Systems, Computer Science, Engineering

Tools

Tableau

Power BI

Alteryx

Datadog

Denodo

Databricks

SageMaker

Bedrock

Terraform

AWS CloudFormation

Job description

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 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. 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.

Who we’re looking for

Toyota's Enterprise Data Department is looking for a passionate and highly motivated Data Platform Engineer. The primary responsibility of this role is to design, develop & maintain scalable, reliable cloud & on-prem infrastructure for data platforms with automated self-service and AI accelerators. Reporting to the Data Engineering Sr Manager, the person in this role will support the OneTech Enterprise Data Department’s objective to build state-of-the-art data platforms and develop platform self service features.

What you’ll be doing

• Design, deploy and optimize enterprise analytics platforms supporting Tableau, Power BI, Alteryx, Essbase, and self-service data products while enabling conversational analytics, AI-assisted insights, natural language querying, and intelligent decision-support capabilities
• Lead the design, development, and continuous improvement of scalable, secure, resilient, and cost-optimized cloud centric data lakes, data warehouses, AI/ML workloads, and agentic solutions using Infrastructure as Code (Terraform, AWS CloudFormation, CDK, or equivalent)
• Engineer and automate the provisioning, configuration, governance, and lifecycle management of S3, Redshift, Databricks, SageMaker, Bedrock, Lambda, EC2, SNS, ElastiCache, Denodo, Datadog, and emerging AI tooling
• Build and maintain enterprise-grade CI/CD and MLOps pipelines, automated testing frameworks, release governance, infrastructure automation, and environment management processes to accelerate delivery of data products, machine learning models, and agentic workflows
• Support implementation of large-scale data engineering solutions utilizing Apache Spark, Scala, Python, Databricks, and modern ELT/ETL technologies
• Collaborate with data architects, Cyber Security and platform stakeholders to establish platform architecture, engineering standards governance frameworks, AI accelerators and technology roadmaps aligned with enterprise strategy
• Provide technical leadership and mentorship to engineering teams by promoting best practices, reusable platform patterns, automation-first engineering principles, cloud-native architectures, and AI solutions while driving continuous innovation and operational excellence
• Implement comprehensive cloud security controls, automated platform health checks, monitoring, alerting, resiliency, data-quality validation, performance tuning, and cost observability while documenting designs, runbooks, and engineering standards

What you bring

Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field, or at least 7 years of relative professional experience 7+ years of experience designing, implementing, and supporting enterprise data, analytics, cloud, and AI platforms across AWS, Linux, and Windows environments Hands-on experience with administration, observability, monitoring, log management, alerting, and integration platforms including Tableau, Power BI, Alteryx, Datadog, and related tools Strong expertise in Infrastructure as Code, cloud automation, and platform engineering using Terraform, AWS CloudFormation, CDK, and/or similar technologies Proven experience developing scalable data engineering, analytics, AI/ML, GenAI, and agentic AI solutions using Python, SQL, Spark, Scala, Databricks, and/or modern ELT/ETL frameworks Strong knowledge of DevOps, DataOps, MLOps, CI/CD, automated testing, release management, and environment automation using GitHub, Jenkins, Ansible, Chef, or equivalent platforms Excellent analytical, problem-solving, communication, and leadership skills with experience defining architecture standards, mentoring engineers, and collaborating across business and technology teams Added bonus if you have Certifications in AWS & Databricks Experience with enterprise data-platform administration, observability, FinOps, or Site Reliability Engineering practices Experience developing APIs or full-stack capabilities using technologies such as React, Node.js, or REST services Working knowledge of cloud security, IAM, encryption, resiliency, AI governance, model monitoring, compliance, performance optimization, and FinOps cost management practices

What We’ll Bring

• 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)

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 [e-mail].

At Toyota, we don’t just have a vision, but a group of talented, dedicated people who work hard every day to turn that vision into reality. Our mission is to build a future where everyone has the freedom to move. We believe that nothing is impossible. We have big dreams and persevere through any obstacles. We work together to create the future of mobility and make the world a better place.

Career Possibilities

Career Possibilities: Toyota is a place for people who dream big and are determined to make those dreams a reality. We encourage innovation and look for people who will challenge the status quo in order to make the world a better place. We thrive on teamwork and collaboration and know diverse backgrounds, experiences and perspectives are not only the right thing for our people, they are a business imperative. Together, we’re empowered to forge our own paths — to be agile, curious and embrace a growth mindset and immerse ourselves in situations to gain new perspectives and to inspire bold, innovative ways of thinking and working. Our success as a company is directly tied to our team members’ success, and our collective ability to give back to society through an unwavering commitment to delight our customers and make people’s lives better. If you want to be part of the next‑generation of innovations that help keep the world moving, then join us. And let’s start our impossible, together.