Staff Data Platform Engineer

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.

- 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.

- Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- 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.

- Databricks Platform Expertise: Solid understanding of the Databricks platform and core concepts such as Delta, Spark, Unity Catalog, data governance, and workspace administration.