Snowflake

Staff Software Engineer - Applied Performance Group

Snowflake(3 months ago)

RemoteFull TimeSenior$236,000 - $339,200Engineering
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About this role

The Staff Software Engineer in the Applied Performance Group at Snowflake is responsible for bridging Engineering and Sales by addressing customer performance issues and enhancing product direction through competitive benchmarking. This role involves deep expertise in Snowflake architecture, query processing, and data engineering, as well as collaboration with Product Management to refine and innovate product features. The ideal candidate has extensive experience in database and data warehouse implementations, strong technical communication skills, and knowledge of cloud platforms, alongside coding proficiency in SQL and programming languages like Python or Java.

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Required Skills

  • Snowflake Architecture
  • Query Processing
  • Workload Profiling
  • Data Engineering
  • Competitive Benchmarking
  • Performance Analysis
  • Cloud Platforms
  • SQL Proficiency
  • Customer Communication
  • Technical Collaboration

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Qualifications

  • University degree in computer science, engineering, mathematics or related fields
  • Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives
Snowflake

About Snowflake

www.snowflake.com

Snowflake, Inc. is a cloud-based data warehousing company that provides a highly scalable and reliable platform for data storage, processing, and analytics. Known as the Snowflake Data Cloud, it empowers organizations to seamlessly manage and analyze their data, leveraging AI and advanced analytics tools without the complexity of traditional data management solutions. Snowflake's architecture eliminates data silos, enabling real-time collaboration and driving innovation across various industries. Its user-friendly interface and robust security features make it a preferred choice for businesses looking to harness the power of their data effectively.

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