Engineering Manager – Snowtrail

SnowflakeYesterday

Location

US-WA-Bellevue

Type

Full Time

Salary

USD 236,000 – 339,200

Level

Manager

Role

Engineering Manager

Posted

Apr 28, 2026

Full TimeManager

The role

Summary

Snowflake is seeking an experienced Engineering Manager to lead the Snowtrail infrastructure team, responsible for developing innovative testing and optimization infrastructure that ensures the reliability and performance of Snowflake's data platform. The ideal candidate will bring deep expertise in distributed systems, strong leadership skills, and a passion for building high-performing engineering teams.

What you'll do

Team Leadership: Lead and develop the Snowtrail infrastructure team, focusing on building high-performing engineering teams

Infrastructure Development: Drive the evolution of Snowtrail infrastructure to support customer-specific workload testing and optimization

Performance Optimization: Implement and improve query replay mechanisms, machine learning-driven query sampling, and workload analysis

System Reliability: Ensure platform reliability, correctness, and performance through advanced testing and monitoring infrastructure

What we look for

Technical

Distributed Systems10+ years of experience designing and building distributed data systems with deep understanding of architecture and complexity

Programming LanguagesFluency in one or more of: SQL, Java, C++, Python, or Go

Computer Science FundamentalsStrong understanding of data structures, algorithms, and distributed systems principles

Education

Computer Science DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Leadership ExperienceProven track record of leading distributed technical teams and mentoring junior engineers

Software DeliveryDemonstrated ability to ship high-quality software in fast-paced, high-velocity environments

Skills

Required skills

Distributed Systems DesignExpertise in designing scalable and reliable distributed computing architectures

Team ManagementStrong leadership and team-building capabilities with ability to mentor junior engineers

CommunicationExcellent interpersonal and cross-functional communication skills

Nice to have

Telemetry PipelinesExperience building at-scale telemetry or query replay pipelines

Database Query EnginesBackground in building or testing database query engines

Machine Learning OperationsKnowledge of operationalizing machine learning models

Compensation & benefits

Salary

USD 236,000 – 339,200 (annual)

Benefits

Competitive Compensation

Salary range of $236,000 - $339,200 with potential for additional equity

Hybrid Work Model

Flexible work arrangement with options for on-site work in San Mateo, CA or Bellevue, WA

Professional Development

Opportunities for continuous learning and career growth in a cutting-edge cloud computing environment

Interview process

1
Initial Screening — Phone or video call with recruiting team to assess initial qualifications
2
Technical Interview — In-depth technical discussion focusing on distributed systems, software design, and leadership experience
3
Leadership Assessment — Interview with engineering leadership to evaluate team management and strategic thinking skills
4
Team Interaction — Meeting with potential team members to assess cultural fit and collaboration potential
5
Final Executive Interview — Comprehensive discussion with senior leadership about vision and approach to engineering management