Senior Solution Engineer - Insurance

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

This role is for a Senior Solution Engineer in the Insurance sector in the UK. The primary focus is on understanding customer needs, strategizing solutions using Snowflake technology, and guiding customers through the evaluation and implementation process. While the role emphasizes AI as a collaborator and encourages testing AI capabilities, the core function is solution engineering and sales support, not direct AI/ML model development or deployment.

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
  • solve complex data challenges
  • translate features and functions into solutions that solve business problems