SQL Engineering Manager

There is only one AI Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the AI Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. In fact, Snowflake processes over 6 billion queries every day, supporting countless businesses in making data-driven decisions. We’re looking for an exceptional and experienced Senior Engineering Manager to manage and grow the Snowflake query processing team in Berlin, Germany. The team is critical to Snowflake's success, responsible for building new SQL features and customer-facing functionality, developing novel query optimization and query execution techniques for industry-leading performance, and building a database system that's highly parallel, efficient and fault-tolerant.

AS AN SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO:

Lead a team of talented engineers in the design, development and support of our highly-parallel and fault-tolerant database system

Translate product requirements into actionable engineering work for your team, reaching out to others for assistance as needed

Collaborate with other leaders in the Engineering and Product organizations on quarterly planning, staffing and project schedules, including teams across different time zones

Effectively shift resources across areas and projects to achieve execution goals and respond to customer feedback and production issues

Use your strong technical foundation to reliably deliver complex projects while maintaining a high-quality bar

12+ years of hands-on software engineering experience

• 5+ years of engineering management experience
• Rock-solid engineering fundamentals, with query processing experience (compile time and/or execution time) and related database technologies
• Outstanding written and oral English language skills, necessary for clear documentation and presentations

BONUS POINTS FOR THE FOLLOWING:

Strong database fundamentals including SQL, performance optimization and schema design

Background in database internals or large-scale data processing systems like Hadoop or Spark

Prior experience running database internal engineering teams, showcasing technical depth

Proven experience with authoring roadmap documents, project plans and RCAs, indicating project management skills

German language skills, beneficial for collaborating with local teams and stakeholders

WHY BE A QUERY PROCESSING MANAGER IN BERLIN?

Lead and grow an exceptional team of industry veterans and rising stars, building an industry-leading cloud data platform that customers love

Play a key role in shaping the future of data processing and contributing to Snowflake's innovation

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.