Senior Manager Engineering - Snowhouse Foundation

Snowflake • Menlo Park, CA

88d • $243,000 - $379,500

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. 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. We are looking for an exceptional engineering leader to manage and grow this high-impact team.

Requirements

• 10+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development.
• 5+ years of experience in building, 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.
• 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.

Nice To Haves

• Experience in ML is a plus.

Responsibilities

• Lead and drive projects from idea formulation to design and 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, mentoring and coaching.
• Collaborate with other engineering 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.

Benefits

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending & health savings account
• At least 12 paid holidays
• Paid time off
• Parental leave
• Employee assistance program
• Other company benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees