Solution Engineer (Data Warehouse)

TL;DR

Solution Engineer (Data Warehouse): Driving technical sales and closing large deals for a cloud data platform with an accent on value-based demonstrations and complex customer problem solving. Focus on designing technical architectures, conducting deep discovery of customer frameworks, and delivering enterprise Proof of Concepts.

Location: Hybrid (Chicago, IL, US)

Salary: $138,000 – $181,125 (Base), OTE $184,000 - $241,500

Company

Snowflake is a cloud data platform company powering the era of the agentic enterprise through AI-native solutions.

What you will do

• Present Snowflake technology and vision to executive and technical audiences at prospect and customer sites.
• Collaborate with sales teams and channel partners to strategize and navigate winning sales cycles.
• Deliver compelling value-based demonstrations and support enterprise Proof of Concepts (PoC).
• Perform deep discovery of customer architecture frameworks to align them with Snowflake Data Architecture.
• Partner with Product Management, Engineering, and Marketing to continuously improve Snowflake’s product offerings.

Requirements

• Must be based in or able to work hybrid in Chicago, IL.
• 10+ years of industry experience, including at least 5 years in a pre-sales environment.
• Hands-on expertise with SQL, SQL analytics, and Python.
• Broad experience with large-scale Database/Data Warehouse technology, ETL, and cloud technologies (Data Lake, Data Mesh, Data Fabric).
• Ability to translate specific business problems into technical solutions.
• University degree in Computer Science, Engineering, Mathematics, or a related field.

Nice to have

• Master's degree in Data Science or Business Administration.

Culture & Benefits

• Participation in Snowflake's commission plan with high OTE potential.
• Eligibility for the company equity plan.
• Work in a dynamic, fast-moving environment with an experimental, AI-native mindset.
• Opportunity to help redefine the future of how work gets done in the database space.