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SnowflakeSnowflakeMcLean, VA

Senior Solution Engineer

Senior Solution Engineer partnering with sales to demonstrate Snowflake's Data Cloud value to Defense Industrial Base customers through technical presentations, POCs, and deep architectural discovery. Requires 7+ years experience, 5+ in pre-sales, DIB domain knowledge, SQL/Python expertise, and AI curiosity.

165k – 217k/yr
On-site7+ YOESales Engineering

About the role

Responsibilities

  • 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.

Requirements

  • 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment.
  • Prior experience engaging with Defense Industrial Base (DIB) accounts — including familiarity with the contracting landscape, security requirements, and buying dynamics unique to defense primes and subcontractors.
  • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (e.g. 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.
  • Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
  • Proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Nice-to-Haves

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

Compensation & Benefits

  • $260,000 - $288,000 On Target Earnings (OTE = Base Salary + Commission/Quota).
  • Competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.

Skills

SQLPythondata warehouseETLAnalyticscloud technologiesdata lakedata meshdata fabricAIPre-Sales
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