Solution Engineer

Snowflake Snowflake · Data AI · PA, United States · Remote · Solution Engineering

Solution Engineer role focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business for Snowflake's AI-powered enterprise solutions. The role emphasizes working with sales teams and partners, presenting technology vision, and collaborating with internal teams. Requires strong pre-sales experience, presentation skills, and expertise in databases, data warehousing, analytics, and cloud technologies, with SQL and Python skills.

What you'd actually do

  1. Present Snowflake 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. Immerse 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.
  4. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Skills

Required

  • Pre-sales experience
  • Presenting to technical and executive audiences
  • Database and/or Data Warehouse technology
  • ETL
  • Analytics
  • Cloud technologies
  • SQL
  • SQL analytics
  • Python
  • Customer business problem analysis
  • Customer architecture discovery

Nice to have

  • Masters in DataScience or Business Administration
  • Experience with GSIs (EY, Deloitte, Accenture, etc)

What the JD emphasized

  • closing large deals
  • enterprise Proof of Concepts
  • reinventing the database space
  • flexibility and willingness to jump in and get things done
  • business and technical context
  • 7-8 years of industry experience
  • minimum of 5 years within a pre-sales environment
  • Outstanding presenting skills
  • Hands-on expertise with SQL,SQL analytics, and Python
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
  • confidentiality and security standards for handling sensitive data
  • data security plan
  • keep customer information secure and confidential