Application Architect (Data Cloud)

TL;DR

Application Architect (Data Cloud): Designing and architecting analytical solutions built on the Snowflake Data Cloud with an accent on application functionality and technical stakeholder management. Focus on driving POCs to success, developing bespoke demonstrations, and aligning Snowflake's capabilities with client-specific requirements.

Location: Bellevue, WA, USA

Salary: $155,000 – $216,500 (Base), $207,500 – $288,750 (OTE)

Company

Snowflake is a cloud-based data platform providing Data Cloud solutions to power the era of the agentic enterprise.

What you will do

• Design and architect analytical solutions on the Snowflake Data Cloud for technical decision makers.
• Develop and deliver bespoke demonstrations highlighting Snowflake's value proposition for application functionalities.
• Partner with account teams to scope and drive POCs to success and technical wins.
• Act as the principal technical authority for customers across the Americas, addressing security, privacy, and governance considerations.
• Analyze competitor offerings and provide comparative analysis to prospective clients.
• Publish scaling content such as blog posts, conference presentations, and technical notebooks.

Requirements

• Must be based in or authorized to work in the USA (Bellevue, WA)
• 5+ years of experience in data-intensive application architecture.
• 5+ years of experience with SQL and SQL data modeling.
• 3+ years of Python programming experience.
• Knowledge of and experience with Kubernetes or Docker.
• Experience architecting on major cloud providers (AWS, Azure, GCP).
• Strong presentation skills for technical and executive audiences.

Nice to have

• AWS Solution Architect Associate or similar certification.
• Experience with Java or JavaScript.
• Knowledge of agentic applications and tools.
• Experience with Streamlit.

Culture & Benefits

• Comprehensive health package: medical, dental, vision, life, and disability insurance.
• Financial security: 401(k) retirement plan, flexible spending, and health savings accounts.
• Generous time off: at least 12 paid holidays and paid time off (PTO).
• Family support: parental leave and employee assistance program.
• Experimental and low-ego culture focusing on AI-native problem solving.