SnowCAT Technical Principal

Responsibilities

• Impact Snowflake’s product success in multiple market segments and workloads
• Engage with PM and Engineering across multiple feature areas
• Engage with customer CTOs and senior business/technical leaders to deploy, prove, evaluate, and advise on new Snowflake capabilities
• Create and advocate for new technical architectures, often backed by sample code
• Dig into selected competing cloud data platform products to evaluate their newest features and best practices and compare them against Snowflake’s capabilities
• Analyze Snowflake telemetry and understand Snowflake’s internals to investigate the root cause for feature behavior
• Communicate findings and recommendations effectively and persuasively to Product Management and Engineering leaders
• Partner with various Marketing teams to position Snowflake’s feature advantages to technical field organizations and customers
• Own and execute on multiple, concurrent SnowCAT projects, maintaining a thorough written record of progress

Requirements

• Proven expertise as leader or senior contributor in a data-centric software or services team
• Deep familiarity with distributed database architectures, query processing and the drivers of performance
• Comfort integrating diverse tooling on cloud platforms including AWS, Azure and GCP
• Curiosity and motivation to work with a variety of distributed computing / database platforms in the cloud and understand strengths & weaknesses impacting performance
• Deep experience with a variety of database-centric workloads including analytic queries, data engineering / ETL, machine learning, streaming data / IOT, and transaction processing
• Expert SQL skills and strong experience in other programming languages/frameworks adjacent to Snowflake, including but not limited to Python, Java, Javascript, Scala, etc.
• Experience with agents/LLMs, containerized services, data intensive applications, and/or machine learning model development
• Strong vibe coding skills to build synthetic workloads and prototypes to stress platforms and features
• Excellent communication skills in presenting to technical audiences inside and outside the company
• An ability to thrive in the dynamic environment that comes with being part of a hyper-growth company
• Proven expertise in understanding the voice of the customer and partnering across engineering, marketing, and sales to deliver compelling products that meet those customers’ needs
• 20+ years of experience in a technical role for data-centric software or services -- testing and tuning products, implementing complex solutions with customers, product management, or benchmarking

Nice-to-Haves

• Experience with agents/LLMs, containerized services, data intensive applications, and/or machine learning model development