Granica is an innovative company that has raised $65M+ from prestigious investors, focusing on revolutionizing how enterprises handle data at the fundamental layer of the AI stack. They're seeking a Lakehouse Core Engineer to join their team of world-renowned researchers and elite engineers from top tech companies.
The role involves working on critical infrastructure that processes hundreds of petabytes for industry leaders. The ideal candidate will work at the intersection of infrastructure engineering and applied research, focusing on petabyte-scale performance, resilience, and design clarity. They'll be responsible for building and optimizing systems using technologies like Delta Lake, Apache Iceberg, and Parquet, while ensuring ACID compliance and efficient schema evolution.
This position offers unique opportunities to work on deep systems engineering at scale, from transaction layer design to adaptive indexing and cost-aware query planning. The engineer will work directly with the founding team and engage closely with design partners, seeing their impact in production quickly. The company offers a strong engineering culture focused on peer-driven learning and technical excellence.
What makes this role particularly attractive is the opportunity to work on fundamental AI infrastructure problems, optimizing how data is stored, processed, and retrieved to make platforms like Snowflake and Databricks more efficient. The company provides comprehensive benefits, including competitive compensation, meaningful equity, and various health benefits, while maintaining a flexible work environment with unlimited PTO and quarterly recharge days.
This is an ideal opportunity for someone who wants to make a significant impact in the AI and data infrastructure space while working with a team of expert builders in a well-funded startup environment.