Senior Solution Engineer, Enterprise Acquisition - Sydney

Snowflake Snowflake · Data AI · Sydney, Australia · Solution Engineering

Senior Solution Engineer role at Snowflake, focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires a deep understanding of Snowflake technology and its positioning against competitors, with collaboration across Product, Engineering, and Marketing. Requires extensive experience in large-scale database, data warehousing, ETL, analytics, and cloud technologies, with hands-on SQL, SQL analytics, and Python expertise.

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

  • Minimum of 10 years relevant industry experience
  • Outstanding presenting skills to both technical and executive audiences
  • Ability to engage and own senior c-suite relationships
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
  • 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

Nice to have

  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
  • Masters in DataScience or Business Administration is a plus
  • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required

What the JD emphasized

  • customer’s most complex problems
  • closing large deals
  • deep discovery of customer’s architecture framework