7 дней назад
Principal Engineer II - Data Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer II - Data Engineering (AWS/Databricks/Azure): Leading the technical strategy and delivery of large-scale supply chain data platforms and AI/ML solutions with an accent on cloud-native architecture, distributed data processing, and engineering standards. Focus on shaping technical direction across multiple teams, designing resilient and cost-optimized platforms, and applying AI-assisted engineering, observability, and DevSecOps practices.
Location: Plano, Texas, United States; based at Motor North America Headquarters
Company
develops automotive and mobility solutions and is advancing digital transformation across its supply chain organization.
What you will do
- Define the technical vision for large-scale supply chain data platforms built on AWS, Databricks, and Azure.
- Lead architecture and design decisions across data products and development teams, balancing scalability, security, resiliency, maintainability, and cost.
- Guide data solutions through discovery, architecture, implementation, deployment, and operational support for big data and AI/ML workloads.
- Coordinate multiple development teams, set priorities, manage dependencies, and drive execution across parallel workstreams.
- Mentor engineers, technical leads, and engineering managers while establishing cloud-native, DevSecOps, observability, and reliability practices.
- Set standards for AI-assisted engineering, run time-boxed experiments, and align technical roadmaps with product, operations, architecture, and supply chain stakeholders.
Requirements
- 8+ years designing and delivering complex enterprise data and software solutions.
- 5+ years of experience with cloud-native data architecture on AWS, Databricks, and Azure, including distributed systems and scalable platform design.
- 5+ years using Python, PySpark, SQL, Databricks, Apache Spark, AWS Redshift, streaming frameworks, and modern DevOps practices.
- Expertise in data architecture, distributed data processing, domain-driven design, streaming and event-driven systems, data governance, security, observability, and reliability.
- Experience designing production AI/ML solutions, including data preparation, model integration, inference workflows, automation, SageMaker, or Bedrock.
- Must have the right to work in the United States and must not require immigration support or visa sponsorship now or in the future.
Nice to have
- Experience with supply chain, manufacturing, logistics, or fulfillment platforms at enterprise scale.
- AWS or Databricks certifications and SAFe or other agile delivery certifications.
- Experience with LLMs, AI agents, AI-assisted development platforms, or introducing emerging technologies into enterprise organizations.
- Experience in globally distributed teams, asynchronous delivery, or productivity-focused tooling.
Culture & Benefits
- Collaborative, respectful, flexible, and inclusive work environment.
- Professional development programs and tuition reimbursement.
- Comprehensive health care and wellness plans, paid holidays, and paid time off.
- 401(k) Savings Plan with company match and annual retirement contribution where applicable.
- Vehicle purchase and lease programs, tax-advantaged accounts, family support services, and relocation assistance where applicable.
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