OverviewWho we're looking forToyota'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 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)
