Granica is an innovative company revolutionizing data optimization for large-scale AI and analytics. As a Lakehouse Engineer, you'll be at the forefront of helping enterprises reduce storage and compute costs while accelerating their data pipelines at petabyte scale. This role combines hands-on technical expertise with customer-facing responsibilities, where you'll design and implement robust data pipelines using technologies like PySpark, Python, and various modern data lakehouse solutions. You'll work with a world-class team from companies like Google, Tesla, and Palantir, tackling meaningful problems that push the boundaries of data infrastructure and AI. The position offers significant growth potential in a remote-friendly environment, backed by top-tier VCs including NEA and Bain Capital Ventures. You'll have the opportunity to directly impact critical projects while enjoying comprehensive benefits and a culture that values outcomes over ego. The ideal candidate brings 5-10 years of relevant experience and strong technical skills in data engineering, combined with excellent communication abilities to work effectively with customers and internal teams. This role is perfect for someone who wants to be part of a rapidly growing startup that's helping organizations build a smarter, more cost-efficient data layer for the AI era.