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Snowflake

Senior Engineering Manager - Data Lake

On-site • Bellevue, United States • Head • $264–396k / год
Зарплата
$264–396k / год
Опубликовано
22 мин назад
Описание

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Engineering Manager - Data Lake

Bellevue, WA - USA

Build the future of the AI Data Cloud. Join the Snowflake team!

We are hiring a dynamic and accomplished Engineering Manager to join our Data Lake team. In this role, you will lead and expand a talented team building on cutting edge open source data lake technologies. You’ll drive innovation, foster collaboration within the open source community, and ensure delivery of robust and scalable solutions for our enterprise customers. You will play a critical role in the growth and success of Snowflake’s business as we shape the future of open data management at scale!

As an Engineering Manager in the Data Lake team, you must possess a strong technical foundation with distributed systems, along with prior experience leading and growing engineering teams. The ideal candidate will demonstrate strong critical thinking, clear communication, and strong decision making skills. If you have this mix of skills, and a passion for working in one of the world’s largest data domains, we’d love to hear from you!

AS AN ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL:

  • Lead a team of talented and high-performing engineers in the design, development, and support of highly distributed and scalable data pl...

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