Lead Data Platform Engineer - Enterprise Scheduler (AWS)

About this role

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.

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.

Who we’re looking for Toyota Financial Services is seeking a motivated Lead Data Platform Engineer - Enterprise Scheduler with strong expertise in Python, FastAPI, and AWS MWAA to support the design and modernization of a multi-account, multi-tenant enterprise scheduler platform on AWS. This role is centered on migrating legacy AutoSys workloads to a secure, scalable, and reusable MWAA-based orchestration platform that can serve multiple internal customers and teams.

The ideal candidate will have hands-on experience in AWS platform engineering, multi-account architecture, IAM, DynamoDB, Networking, ECS Fargate, EKS, Lambda, API Gateway, CloudWatch, and Infrastructure as Code using Terraform or CloudFormation. You will help define the target architecture, onboarding model, governance controls, and operational framework for a scheduler platform that is easy to adopt, secure to operate, and scalable across teams. As a hands-on technical lead, you will collaborate closely with architects, platform engineers, and business stakeholders to ensure the solution is resilient, standardized, and built for enterprise-wide reuse.

What you’ll be doing

Scheduler Platform Architecture: • Design, build, and support an enterprise scheduler platform on AWS MWAA to replace legacy AutoSys jobs and workflows

• Lead migration planning, dependency analysis, workflow redesign, and implementation for AutoSys-to-MWAA modernization

• Build reusable scheduling patterns and platform capabilities that support multiple teams and workloads in a multi-tenant environment

• Define platform standards, operating procedures, and governance controls for secure and scalable scheduler adoption

Platform Engineering and Enablement: • Design and implement the target multi-account AWS architecture for the scheduler platform

• Create onboarding mechanisms, reusable templates, and platform services that enable internal customers to adopt MWAA efficiently

• Partner with platform consumers to support onboarding, access patterns, integration requirements, and usage best practices

• Help establish guardrails and self-service capabilities that improve the customer experience while maintaining compliance

Backend/API Development: • Build and maintain RESTful APIs with Python, containerized and deployed on AWS ECS Fargate/EKS

• Design clean contracts and versioned APIs; document with OpenAPI/Swagger

• Support integration between scheduler services, platform components, and enterprise applications

AWS & Infrastructure: • Configure API Gateway for secure routing, throttling, authentication, and authorization

• Use Infrastructure as Code such as Terraform or AWS CloudFormation for MWAA, ECS Fargate, EKS, API Gateway, IAM, networking, and multi-account platform resources

• Work across AWS services including S3, Lambda, CloudWatch, OpenSearch/Elasticsearch, DynamoDB, and Bedrock as applicable

• Apply enterprise security, account separation, and deployment patterns for multi-account AWS architecture

CI/CD, Quality, and Testing: • Build CI/CD pipelines using GitHub Actions, Jenkins, or CodePipeline for automated build, test, and deploy

• Use GitHub or GitLab and artifact repositories such as Artifactory.

• Write unit, integration, and end-to-end tests with pytest; automate regression testing with QA

• Perform load and stress testing; analyze performance and reliability metrics

Observability & Operations: • Implement centralized logging and metrics using CloudWatch, Dynatrace, and OpenSearch/Elasticsearch where needed

• Set up alerting based on SLIs and SLOs for workflow health and platform reliability

• Troubleshoot incidents using logs, traces, and metrics; proactively address bottlenecks and failed workflows

. Security & Governance: • Implement IAM, SSO, OAuth2, and JWT; follow AWS security best practices and enterprise governance standards

• Apply secure access controls, secrets management, and dependency scanning

• Partner with architecture and governance teams to ensure platform controls align with enterprise policies

Leadership & Delivery: • Own technical direction and architecture for Python-based services, AWS platform capabilities, and MWAA-based scheduler modernization

• Break down roadmaps into milestones; drive estimations, delivery predictability, and risk management

• Lead design reviews, establish engineering standards, and approve critical architectural decisions

• Mentor engineers; provide feedback and growth plans; foster high-quality code, documentation, and operational excellence

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