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SnowflakeSnowflakeNew York, NY

Senior Solution Engineer

Senior Solution Engineer supporting complex enterprise sales cycles through technical discovery, value-based demonstrations, proofs of concept, and architecture guidance. Requires at least five years of pre-sales experience, broad data and cloud expertise, and strong SQL and Python skills.

165k – 217k/yr
Hybrid7+ YOESales Engineering

About the role

Responsibilities

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
  • Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
  • Support enterprise proofs of concept and help close business.
  • Work with sales teams and channel partners to understand customer needs and strategize winning sales cycles.
  • Maintain deep knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
  • Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
  • Connect customers’ business problems with Snowflake solutions.
  • Discover customers’ architecture frameworks and connect them with Snowflake data architecture.
  • Serve as a technical thought partner for customers navigating the AI landscape.

Requirements

  • 7–8 years of industry experience, including at least 5 years in a pre-sales environment.
  • Outstanding presentation skills for technical and executive audiences, including whiteboarding, presentations, and demos.
  • Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies.
  • Experience with data lakes, data mesh, or data fabric architectures.
  • Hands-on expertise with SQL, SQL analytics, and Python.
  • Ability to work effectively in both business and technical contexts.
  • Ability to perform deep customer discovery and relate architecture requirements to data architecture.
  • Proven ability to use AI code-generation tools to improve productivity.
  • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

Nice-to-haves

  • Master’s degree in Data Science or Business Administration.
  • Experience working with global systems integrators such as EY, Deloitte, or Accenture.

Compensation & Benefits

  • Total on-target earnings: $260,000–$288,000.
  • Competitive base salary, variable compensation, and equity.
  • Benefits include 401(k), health, dental, and vision coverage, flexible PTO, and a professional development budget.

Skills

SQLPythonETLData Warehousingcloud technologiesdata lakesdata meshdata fabricAnalyticsSnowflakeai code generation toolsproofs of concept
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