Principal Engineer - Data Platform Engineer

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