Senior Solution Engineer

US-GA-Remotefull timeRemote

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senior

$0k–$0k

H1B: yes

Snowflake Senior Solution Engineer at Snowflake solves complex customer problems and supports sales cycles through demonstrations and proof of concepts. The role requires deep technical knowledge of database and cloud technologies and strong presentation skills.

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
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
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.
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.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus.

Qualification

7-8 years of industry experienceHands-on expertise with SQLUniversity degree in computer science

Required

7-8 years of industry experience
Minimum 5 years in a pre-sales environment
Outstanding presenting skills to technical and executive audiences
Broad experience with large-scale database and data warehouse technology
Hands-on expertise with SQL, SQL analytics, and Python
University degree in computer science, engineering, mathematics or related field