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Snowflake

Where data does more

Senior Solution Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 2012Company SiteLinkedIn

Location

Illinois

Posted

5 days ago

Salary

$165K - $216.6K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishCloudETLPythonSQL

Job Description

Senior Solution Engineer

Snowflake

• 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

Job Requirements

  • 7-8 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. For example, 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.
  • Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
  • A 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. Masters in Data Science or Business Administration is a plus.
  • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
  • Expect approximately 30% travel.

Benefits

  • medical, dental, vision, life, and disability insurance
  • 401(k) retirement plan
  • flexible spending & health savings account
  • at least 12 paid holidays
  • paid time off
  • parental leave
  • employee assistance program
  • competitive benefits package

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Where data does more

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