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Snowflake

Senior Solution Engineer

Reposted 4 Days Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Senior Solution Engineer will work with sales teams to understand customer needs, deliver demonstrations, and close business deals using Snowflake technology.
The summary above was generated by AI

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.

As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:
  • 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 Data Science or Business Administration is a plus.

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

ABOUT OUR TEAM:

Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.

Our Human Resources Department may use artificial intelligence to support its administrative processes.
This role is available and may represent a new position.


This role is exempt from Ontario’s job posting requirements.

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.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Top Skills

Analytics
Cloud Technologies
Data Fabric
Data Lake
Data Mesh
ETL
Python
SQL

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