Senior Solution Engineer

Snowflake Snowflake · Data AI · Paris, France · Solution Engineering

This role is for a Commercial Solution Engineer in the French market who will work with customers to understand their needs, strategize on how to best support them in their evaluation, and help them choose Snowflake as their solution. The role involves presenting Snowflake's technology and vision, working hands-on with customers, creating technical champions, and collaborating with internal teams and partners.

What you'd actually do

  1. Present Snowflake’s technology and vision to executives and technical contributors at customers
  2. Work hands-on with customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
  3. Create and develop technical champions in your accounts to drive deals and achieve a technical win
  4. Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects
  5. Immerse and enable yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

Skills

Required

  • Sales engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering etc)
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Understanding of and experience with data architecture, data analytics and cloud technology
  • Hands on experience with SQL
  • Ability to solve customer specific business problems and apply Snowflake’s solutions
  • Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal

Nice to have

  • Hands on experience with Python
  • Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)
  • Experience with data science and machine learning technology

What the JD emphasized

  • fluent/native French speaker