Engineering Manager – Snowtrail

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Engineering

Engineering Manager to lead the Snowtrail infrastructure team, which enables Snowflake to deliver dedicated coverage for customer-specific workloads. This involves query replay and leveraging ML models to optimize cost and performance, essential for platform reliability and correctness.

What you'd actually do

  1. Lead the Snowtrail infrastructure team at Snowflake.
  2. Evolving Snowtrail to incorporate new engine features while improving scalability, efficiency, and reliability is central to our continued success.
  3. Building high-performing teams and mentor junior engineers.
  4. Ability to collaborate well across teams.
  5. Ability to work on-site at our San Mateo, CA or Bellevue, WA offices.

Skills

Required

  • 10+ years industry experience designing and building distributed data systems.
  • Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.
  • Fluency in SQL, Java, C++, Python or Go.
  • Ability to collaborate well across teams, build high-performing teams and mentor junior engineers.
  • Excellent interpersonal communication skills.
  • Ability to work on-site at our San Mateo, CA or Bellevue, WA offices.

Nice to have

  • Building at-scale telemetry pipeline or query replay pipeline
  • Building or testing database query engine
  • Operationalizing Machine Learning models
  • Solid understanding of shipping end to end customer experiences across clients including browsers, apps and drivers
  • Multi-tenant systems, with focus on reliability, performance, isolation, security and scalability.
  • A track record of leading distributed technical teams

What the JD emphasized

  • shipping quality software in high code velocity environments
  • designing and building distributed data systems
  • building at-scale telemetry pipeline or query replay pipeline
  • building or testing database query engine
  • operationalizing Machine Learning models

Other signals

  • leveraging machine learning models to intelligently sample queries and workloads
  • optimize for both cost and performance
  • evolving Snowtrail to incorporate new engine features
  • improving scalability, efficiency, and reliability