Staff Data Platform Engineer

Rivian and Volkswagen Group Technologies•Irvine, CA

3d•$154,000 - $204,050

About The Position

RV Tech is seeking a strong Data Platform Engineer to architect and scale the infrastructure powering the next generation of software-defined electric vehicles. In this role, you will be responsible for the design and optimization of our core data processing and analytics infrastructure, with a specific emphasis on multi-region Databricks orchestration. You will partner with cross-functional teams to deliver robust, industry-leading solutions that move the automotive world forward. We value proactive problem-solvers who thrive in autonomous roles and are passionate about building performant, scalable systems.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
3+ years of hands-on experience in a similar role, with a proven track record of building and maintaining large-scale data processing systems.
Solid understanding of the Databricks platform and core concepts such as Delta, Spark, Unity Catalog, data governance, and workspace administration.
History of using Terraform to manage large scale systems via Infrastructure as Code, and utilizing other technologies to build and maintain CI/CD pipelines.
Exceptional analytical and problem-solving skills, with the ability to break down complex problems into manageable components.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams around the globe.
Experience working with cloud-based technologies (e.g., AWS, GCP, Azure)

Nice To Haves

Background designing scalable data pipelines using the Spark ecosystem (e.g., Spark SQL, Spark Streaming).
Familiarity with core AWS services such as IAM permissions, VPC networking, EC2 compute, and S3 storage.

Responsibilities

Design, deploy, and maintain our data platform infrastructure using Terraform and other Infrastructure as Code (IaC) principles.
Manage and optimize our Databricks platform, ensuring it remains secure, performant, and cost-effective at a global scale.
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.
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.
Proactively identify and resolve issues that may arise with the Databricks platform.
Stay up-to-date with the latest advancements in big data technologies, cloud computing, and DevOps practices.