Snowflake SENIOR PARTNER SALES ENGINEER - EMEA RSI PARTNERS 

United Kingdom, England, London 

701630800

AS A RSI PARTNER SALES ENGINEER, YOU WILL:

• Stay current with the latest Snowflake product updates and best practices
• Run training sessions, workshops, webinars to help UK RSIs become proficient in Snowflake
• Be an advocate for your partners to the Snowflake account teams
• Support our partners when engaged in customer opportunities
• Keep UK SIs up-to-date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients covering the latest technology solutions and benefits
• Influence where Snowflake can have the most impact on our partners’ go-to-market offerings
• Run technical enablement programs to provide best practices, and solution design workshops to help UK RSIs create effective solutions
• Help Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake
• Help develop and launch joint differentiated solution offerings with UK RSI Partners
• Share customer success stories & case studies to showcase the positive impact of Snowflake
• Engage in forward Strategic thinking - quickly grasping the essence of new concepts and business value messaging

OUR IDEAL RSI PARTNER SALES ENGINEER WILL HAVE:

• Experience with database /data warehouse technologies
• Familiarity with providing sessions on technical product capabilities and architectural deep-dives to a technical audience
• Broad experience with major cloud platforms and tooling, especially Azure, AWS, and Google Cloud
• Experience in data science programming languages including Python, SQL, Scala, and/or Spark
• Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. also integration platforms like Matillion, FiveTran, Informatica, dbtCloud etc.
• Hands-on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems
• Experience with developing AI/ML use cases including communicating AI/ML strategy and business value
• Commercial awareness and a strong understanding of how SIs generate revenue through the industry priorities & complexities they face