Teams at Databricks

Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.

Build features for the Databricks platform as part of a collaborative engineering team. Interns manage projects from design through coding and feedback while learning to develop scalable, high-quality, secure infrastructure and products. Opportunities span full-stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing engineering teams. Participants receive dedicated mentorship and join a summer 2027 intern or co-op cohort.

Designs and presents scalable Databricks data architectures for customers throughout the sales lifecycle. Partners with account executives and technical stakeholders to develop account strategies, demonstrate reference architectures, validate integrations, and deliver production data solutions. Advises customers on big data engineering, data warehousing, data science, and machine learning projects. Promotes Databricks open-source technologies through customer engagements and developer communities. Requires up to 30% regional travel.