Snowflake
Solution Engineer, Enterprise Acquisition
About this role
Snowflake seeks a Solution Engineer to guide enterprise customers through AI and data modernization initiatives. You'll architect scalable solutions, deliver technical demos, and bridge the gap between complex technical concepts and business outcomes while supporting high-value sales cycles.
What you'll do
- Lead customer strategy discussions on AI implementation and data modernization approaches
- Design and demonstrate scalable data and AI solutions using SQL and Python
- Support enterprise proof-of-concept projects from initial planning through value delivery
- Translate technical architectures into measurable business outcomes for stakeholders
- Navigate competitive objections and influence buying decisions in complex sales cycles
- Leverage AI tools to personalize demos and accelerate customer engagement preparation
What they're looking for
- SQL and modern data warehousing platforms
- Python for analytics and machine learning workflows
- Generative AI and LLM concepts and applications
- Technical communication across executive and engineering audiences
- Solution architecture and proof-of-concept design
- Sales cycle navigation and stakeholder influence
- Snowflake platform expertise
- Data strategy and modernization
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Snowflake
Snowflake builds a cloud data platform with marketplace capabilities, analytics infrastructure, and AI-powered data solutions, supported by robust security and streaming systems. The company is hiring full-stack engineers, analytics engineers, solution engineers, security-focused software engineers, and principal engineers to enhance its platform and infrastructure.
- Website
- snowflake.com
Likely interview questions
- Describe a time you architected a data solution for a customer; how did you balance technical requirements with business objectives?
- Walk us through how you would design a proof-of-concept to demonstrate AI capabilities to a skeptical executive team.