Hiring: Staff Data Platform Engineer Company: Rivian and Volkswagen Group Technologies Location: Irvine, CA Job Posted Time: 2026-09-16 21:57:08 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, Databricks, EC2, GCP, IAM, IaC, Infrastructure as Code, PySpark, S3, SQL, Spark, Systems Design, Terraform, VPC About the job Experience: •3+ years of hands-on experience in a similar role, with a proven track record of building and maintaining large-scale data processing systems. Required Skills: •Infrastructure Management: Design, deploy, and maintain our data platform infrastructure using Terraform and other Infrastructure as Code (IaC) principles. •Databricks Platform Expertise: Manage and optimize our Databricks platform, ensuring it remains secure, performant, and cost-effective at a global scale. •System Design & Architecture: Lead the technical design of data systems, considering factors like scalability, reliability, and performance. You'll be expected to make informed decisions that align with our long-term architectural vision. •Stakeholder Collaboration: Communicate effectively with data producers, data consumers, and business leaders to gather requirements, provide technical guidance, and ensure the data platform meets their technical and legal needs. •Troubleshooting & Issue Resolution: Proactively identify and resolve issues that may arise with the Databricks platform. •Staying Ahead of the Curve: Stay up-to-date with the latest advancements in big data technologies, cloud computing, and DevOps practices. Qualifications: •Databricks Platform Expertise: Solid understanding of the Databricks platform and core concepts such as Delta, Spark, Unity Catalog, data governance, and workspace administration. •Terraform and DevOps Background: History of using Terraform to manage large scale systems via Infrastructure as Code, and utilizing other technologies to build and maintain CI/CD pipelines. •Problem-Solving Skills: Exceptional analytical and problem-solving skills, with the ability to break down complex problems into manageable components. •Communication & Collaboration: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams around the globe. •Cloud Computing: Experience working with cloud-based technologies (e.g., AWS, GCP, Azure) •PySpark Expertise: Background designing scalable data pipelines using the Spark ecosystem (e.g., Spark SQL, Spark Streaming). •AWS proficiency: Familiarity with core services such as IAM permissions, VPC networking, EC2 compute, and S3 storage. Compensation: •$154,000 - $211,750 / year •Competitive benefits and rewards package •In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!