Senior Manager Engineering- Snowhouse Foundation

Snowhouse Foundation, our data infrastructure team, is responsible for Snowhouse our globally distributed data platform. Snowhouse manages the vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all snowflake environments and various 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, resource consumption from all their global environments. The team is investing into multiple critical areas like a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. What makes this team unique is that it is also responsible for a fundamental product for Snowflake's customers: the Snowflake system database/application that provides customers with all the usage insights that they need to reason about their global Snowflake footprint as well as 1st party business logic like ML powered functions and Budgeting applications. 

We are looking for an exceptional engineering leader to manage and grow this high-impact team.

• Lead and drive projects from idea formulation, to design, and to implementation.
• Drive great partnership with the product management team.
• Set team strategy and be accountable for team plans and deliverables.
• Grow and build a strong, healthy, and diverse team through hiring as well mentoring and coaching.
• Collaborate with other engineering teams and cross functional teams.
• 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.
• Identify the gaps in our data infrastructure and design and build the solutions.

• 10+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development.
• 5+ years of experience in managing and leading teams to build systems and framework to process PBs of data and real-time event streaming.
• 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 collaboration and communication skills.
• Experience in distributed systems and databases.
• Experience in ML is a plus.
• Strong hands-on skills. Can drill deep into the complex system design and implementation when needed.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.