Principal Engineer - Data Platform Engineer
Toyota USA1 day ago
Plano, TX, USAStaff+
Responsibilities
- Design, deploy, and optimize enterprise analytics platforms supporting Tableau, Power BI, Alteryx, Essbase, and self-service data products.
- Lead the design and continuous improvement of scalable cloud-centric data lakes, data warehouses, AI/ML workloads, and agentic solutions using infrastructure as code.
- Automate provisioning, configuration, governance, and lifecycle management for AWS, Databricks, Denodo, Datadog, and related platform services.
- Build and maintain CI/CD, MLOps, automated testing, release governance, infrastructure automation, and environment-management processes.
- Support large-scale data engineering solutions using Apache Spark, Scala, Python, Databricks, and modern ELT/ETL technologies.
- Establish platform architecture, engineering standards, governance frameworks, AI accelerators, and technology roadmaps.
- Provide technical leadership and mentorship while promoting reusable platform patterns, automation-first engineering, and cloud-native architectures.
- Implement cloud security controls, platform health checks, monitoring, alerting, resiliency, data-quality validation, performance tuning, cost observability, documentation, and runbooks.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field, or at least seven years of relevant professional experience.
- At least seven 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, and Datadog.
- Strong expertise in infrastructure as code, cloud automation, and platform engineering using Terraform, AWS CloudFormation, CDK, or similar technologies.
- Experience developing scalable data engineering, analytics, AI/ML, GenAI, and agentic AI solutions using Python, SQL, Spark, Scala, Databricks, and modern ELT/ETL frameworks.
- Knowledge of DevOps, DataOps, MLOps, CI/CD, automated testing, release management, and environment automation using GitHub, Jenkins, Ansible, Chef, or equivalent platforms.
- Strong analytical, problem-solving, communication, and leadership skills, including architecture definition, engineering mentorship, and cross-functional collaboration.
- AWS or Databricks certifications are a bonus.
- Experience with enterprise data-platform administration, observability, FinOps, or Site Reliability Engineering practices is a bonus.
- Experience developing APIs or full-stack capabilities using React, Node.js, or related technologies is a bonus.
- Working knowledge of cloud security, IAM, encryption, resiliency, AI governance, model monitoring, compliance, performance optimization, and FinOps cost management is a bonus.
Benefits
- Team-oriented, flexible, and respectful work environment.
- Professional growth and development programs with tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program when applicable.
- Comprehensive health care and wellness plans for the employee’s family.
- Toyota 401(k) Savings Plan with company match and an annual retirement contribution when applicable.
- Paid holidays and paid time off.
- Referral services for prenatal services, adoption, childcare, schools, and related needs.
- Tax-advantaged Health Savings, Health Care FSA, and Dependent Care FSA accounts.
Tech Stack
Categories
Data EngineeringDevOps
About Toyota USA
Toyota USA (Toyota Motor North America) manufactures and sells Toyota cars, trucks, and SUVs for U.S. customers, and provides financing and mobility services. Founded in 1957 and headquartered in Plano, Texas, it oversees North American operations and plants that build models like the Camry and Tundra, and is expanding battery and EV production in Kentucky and North Carolina.