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SnowflakeSnowflakeGeorgia

Principal Solution Engineer

Principal Solution Engineer driving complex enterprise sales cycles by delivering technical demos, leading POCs, and architecting Snowflake solutions for large-scale data and AI use cases.

189k – 248k/yr
Remote8+ YOESolutions Architecture

About the role

IN THIS ROLE YOU WILL GET TO:

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers
  • 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
  • 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
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

  • 8-12 years of industry experience with a minimum of 5 years within a pre-sales environment
  • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (Data Lake, Data Mesh, Data Fabric)
  • 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
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred (Masters in Data Science or Business Administration is a plus)
  • Experience with GSIs (EY, Deloitte, Accenture, etc) would be beneficial, but not required
  • Expect to be onsite with customers about 30% of the time

Skills

SQLPythonMachine LearningGenerative AIData WarehouseETLData LakeData MeshData FabricCloud Technologies
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