Staff Software Engineer - Applied Performance Group

Snowflake
US-CA-Menlo ParkPosted 23 February 2026

Job Description

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.The Applied Performance Group (APG) Engineering team provides a highly strategic function at Snowflake, with direct impact to our product direction, as well as to our bottom line. APG engineers are a key bridge between Engineering and our Sales organization, support organization, and other engineering organizations at Snowflake. They are called on to help with our most challenging customer performance issues, and help deliver some of our biggest deals. In addition, APG plays a strategic role in competitive benchmarking, defining and/or utilizing industry benchmarks to compare Snowflake performance against our competitors.APG Engineers are at the cutting edge of innovation at Snowflake, pioneering Snowflake deployments with the newest technology and working with Engineering and Product Management to continuously improve the product and ensure we continue building the best Cloud Data Platform in the industry. A successful Applied Performance Engineer will have a broad range of skills and experience ranging from strong SQL skills, data warehousing, data architecture, data engineering, transaction processing, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build and execute proof-of-concepts and benchmarks, but also to provide consultative assistance in areas of product direction. The person we’re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. And it means working collaboratively with a broad range of people both inside and outside the company.RESPONSIBILITIES:Be an expert on the topics of Snowflake architecture, query processing, workload profiling, data engineering, and Snowflake toolsBe an expert in competitor solutions/products for analytics and data engineeringDefine, automate, execute, and publish competitive benchmarksPartner closely with other engineering teams to deliver both results and guidance on performance gaps, challenges, advantages, and disadvantagesCollaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps.OUR IDEAL APPLIED PERFORMANCE ENGINEER WILL HAVE:Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiativesExperience and ability to work directly with other engineering teams, product managers, and various levels of managementStrong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiencesBroad understanding of cloud platforms and solutions, including experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)Proven track record of experience with Snowflake competitorsDeep understanding of complete data engineering and analytics stack and workflow, from data ingestion and load to transformation to data platform design to BI and analytics toolsDeep technical expertise in databases, data warehouses, data processing, and applicationsCoding/programming experience in process automationStrong SQL perform ... (truncated, view full listing at source)