Snowflake PERFORMANCE ARCHITECT SOLUTIONS ENTERPRISE FIELD CTO 

United States 

98770026

Our Sales Engineering organization is seeking a

• Engage with our sales teams and our customers to understand performance challenges that might interfere with the successful onboarding of a workload onto the Snowflake Cloud Data Platform
• Assess performance concerns presented by our sales teams and/or our customers, and if appropriate, conduct detailed investigations to identify underlying causes and propose prioritized solutions/recommendations to resolve performance issues
• Apply your foundational understanding of data platforms and distributed systems to drive customers towards optimal outcomes for their workloads on our Cloud Data Platform
• Provide expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

• 5+ years of experience in delivering high performance architectures, models, and solutions on distributed data platforms
• Expert level knowledge of the SQL language (no exceptions)
• Deep technical hands-on expertise in query tuning and optimization
• Comprehensive understanding of data pipelines and data engineering best practices
• Working knowledge of scripting languages (such as Python) and the ability to write clean and efficient code that interacts with modern data platforms
• Ability to assess gaps in technical understanding of others, and to clearly articulate complex concepts in simple terms to bridge/close gaps and drive better outcomes
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experiencepreferred.