Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Snowflake is seeking a Senior Solution Engineer to solve complex customer problems and close large deals. This role involves working with sales teams and partners to understand customer needs, strategize sales cycles, deliver compelling demonstrations, support proofs of concept, and close business. The ideal candidate is passionate about reinventing the database space, thrives in a dynamic environment, and is comfortable interacting with both business and technical audiences.

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.
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.
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.
Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required.

Skills

SQL
SQL analytics
Python
AI code generation tools

Location

United States

Work Type

Full-time

Experience Level

Senior

Education Level

University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Masters in Data Science or Business Administration is a plus.

Salary/Compensations

$260,000 - $288,000 OTE

Benefits

Competitive base salary
Variable compensation
Equity
Comprehensive benefits including 401(k), health/dental/vision
Flexible PTO
Professional development budget

About the Company

Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.