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Snowflake

Solution Engineer

Reposted 23 Hours Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Solution Engineer collaborates with sales teams to address complex customer challenges, demonstrate Snowflake's technology, and manage enterprise proof of concepts, ultimately closing deals.
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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 Solution Engineer who is accustomed to solving customers’ most complex problems, closing large deals, and positioning organizations to enable AI adoption quickly and easily. 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, and support enterprise Proof of Concepts.

As a Snowflake Solution Engineer, you must share our passion for reinventing the data landscape. You should have a proven track record of helping customers modernize their data stack to unlock AI/ML capabilities. You are equally comfortable in both a business and technical context, interacting with executives about AI strategy and "talking shop" with technical audiences about implementation.

IN THIS ROLE YOU WILL GET TO:
  • Present Snowflake technology and vision to executives and technical contributors, specifically focusing on how Snowflake serves as the engine for rapid AI innovation.

  • Work hands-on with prospects to demonstrate the value of Snowflake throughout the sales cycle, moving them from initial interest to value driving insights and business outcomes

  • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of Generative AI, LLMs, and competitive technologies, ensuring Snowflake is positioned as the easiest path to enterprise AI.

  • Collaborate with Product and Engineering to share field insights on customer data platform and activation requirements to continuously improve our platform.

ON DAY ONE WE WILL EXPECT YOU TO HAVE:
  • Proven success in positioning data solutions to enable rapid AI adoption, showing customers a clear path from raw data to actionable machine learning models.

  • Outstanding presenting skills to both technical and executive audiences, with the ability to translate complex data concepts into business value.

  • Broad range of experience within Large-scale Database/Data Warehouse technology, ETL, and modern AI/ML frameworks.

  • Hands-on expertise with SQL and SQL analytics (Python or R experience for data science is a plus).

  • The ability to connect a customer’s specific business problems to Snowflake’s AI and Data Cloud solutions.

  • University degree in Computer Science, Engineering, Mathematics, or equivalent experience.

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.

ABOUT SNOWFLAKE:

Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. We’re passionate about our people, our customers, our values and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.

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 an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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 Warehouse
Database
ETL
SQL

Snowflake Toronto, Ontario, CAN Office

16 York Street, 31st and 32nd, Toronto, Ontario, Canada, M5J 2Z2

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