Principal Software Engineer I - Snowhouse Foundation

The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake's core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments.

The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake's customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications.

AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL:

- Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure

- Lead and drive projects from idea formulation to design, implementation and successful productionization.

- Collaborate with product managers, architects, other engineering teams, data science organizations, business groups, on end to end solutions.

- Provide strong technical leadership to the team and partner teams.

- Enable the data science organization, business groups, engineering teams to build comprehensive analytics quickly and effectively.

- 15+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development.

- Strong track record of delivering large scale and resilient distributed systems and services.

- Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP.

- Strong hands-on skills. Can dive deep into the complex system design and implementation when needed.

- BS/MS/PhD in Computer Science or related majors, or equivalent experience.