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Snowflake

Solution Engineer

Dallas, TX (Remote)$165k–$216.6kfulltimemidAdded today

About this role

Snowflake seeks an experienced Solution Engineer to drive complex sales cycles by demonstrating platform value to enterprise prospects and customers. You'll combine technical expertise with business acumen to deliver compelling proofs of concept, collaborate with sales teams, and help close large deals while maintaining deep knowledge of data warehouse and cloud technologies.

What you'll do

  • Present Snowflake technology and competitive positioning to executive and technical audiences at prospects and customers
  • Conduct hands-on demonstrations and design proofs of concept throughout the sales cycle
  • Perform deep discovery of customer architecture and map business problems to Snowflake solutions
  • Collaborate with Product, Engineering, and Marketing to improve products and go-to-market strategy
  • Support enterprise implementations and design validation with prospects
  • Stay current on competitive and complementary technologies in the data ecosystem

What they're looking for

  • SQL and SQL analytics
  • Python programming
  • Database and data warehouse architecture
  • Cloud technologies (Data Lake, Data Mesh, Data Fabric)
  • ETL and analytics platforms
  • Executive and technical presentation skills
  • Customer discovery and requirements gathering
  • Solution architecture and design
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Snowflake

Snowflake builds a cloud data platform with marketplace capabilities, analytics infrastructure, and AI-powered data solutions, supported by robust security and streaming systems. The company is hiring full-stack engineers, analytics engineers, solution engineers, security-focused software engineers, and principal engineers to enhance its platform and infrastructure.

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Likely interview questions

  • Walk us through a complex data warehouse migration or modernization project you've supported—what challenges arose and how did you help the customer overcome them?
  • Describe your experience presenting technical architecture decisions to C-level executives; how do you balance business value with technical depth?