2 months ago
Base Salary
$264k - $380k/yr
Responsibilities
- Lead evaluation and enablement of new AWS, Azure, and GCP instance types, including Graviton, AMD Turin, Azure ARM/Cobalt, and GCP Axion.
- Set performance strategy, architecture, measurement methodology, and technical roadmap.
- Build benchmarking, performance-validation, scorecard, dashboard, and modeling infrastructure for hardware qualification and rollout decisions.
- Analyze CPU microarchitecture, memory bandwidth, PMU counters, and I/O behavior to identify and resolve workload-specific bottlenecks.
- Develop price/performance models connecting technical metrics to pricing, capacity, cost-per-query, and hardware transition decisions.
- Lead cross-functional and external partnerships with Snowflake engineering and Finance teams, cloud providers, and silicon vendors.
- Mentor engineers, build benchmarking capability, and promote company-wide performance education.
Requirements
- 12+ years of experience in performance engineering, systems engineering, or infrastructure engineering.
- Track record of principal-level technical leadership and cross-functional, cross-company initiative leadership.
- Deep expertise in cloud infrastructure performance with at least one major cloud service provider: AWS, Azure, or GCP.
- Strong knowledge of CPU microarchitecture, memory bandwidth, I/O subsystems, PMU counters, and performance profiling.
- Experience building or operating large-scale benchmarking systems and converting benchmark results into pricing or rollout decisions.
- Ability to build quantitative models connecting performance metrics to business outcomes such as pricing multipliers and cost-per-query.
- Experience serving as a primary technical contact for cloud providers, hardware partners, or silicon vendors.
- Bias toward automation, including scorecards, dashboards, and validation pipelines.
- Preferred experience with data warehouse or distributed database performance, early-access hardware programs with cloud or silicon providers, or hardware-emulation systems.
Benefits
- Engineering location is Menlo Park.
- Salary and benefits information is provided through the Snowflake Careers Site for United States jobs.
Tech Stack
Categories
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.