Solution Engineer

Snowflake Snowflake · Data AI · London, United Kingdom · Solution Engineering

Snowflake is seeking a Solution Engineer for the UK market to help customers solve complex problems using Snowflake's technology. The role involves working with sales teams and partners to understand customer needs, demonstrate Snowflake's value, and strategize on solutions. The engineer will present Snowflake's technology and roadmap, conduct demos and proofs of concept, and collaborate with internal teams and partners. The ideal candidate has experience in solution engineering or architecture within a SaaS environment, strong presentation skills, and an understanding of data architecture, analytics, and cloud technology, with hands-on SQL experience. Experience with AI/ML technologies is preferred.

What you'd actually do

  1. Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers
  2. Work hands-on with prospects and 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

  • Solution 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

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

What the JD emphasized

  • solve our customer’s most complex problems
  • understand the needs of our customers
  • help our customers choose Snowflake as their solution
  • solve complex data challenges
  • help organizations to get the most out of their data assets
  • learn new skills and put them into practice on real world challenges
  • translate features and functions into solutions that solve business problems
  • demonstrate and communicate the value of Snowflake technology
  • drive deals and achieve a technical win
  • confidently present Snowflake roadmap features and functionality
  • maintaining a deep understanding of competitive and complementary technologies and vendors
  • position Snowflake in relation to them
  • make each other the best and constantly learn from wins and losses
  • continuously improve Snowflake’s products and marketing
  • build joint architectures or collaborate on account strategies and initiatives
  • help our customers be successful
  • Proactively contribute and help co-develop Account & territory plans and execute
  • Solution 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
  • 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
  • Experience with AI, data science and machine learning technologies