Data Platform Architect - Applied Field Engineering

Snowflake Snowflake · Data AI · WA, United States · Remote · Solution Engineering

This role is for an Application Architect within Snowflake's Solution Engineering organization. The primary focus is on providing hands-on expertise and support to technical decision-makers, designing and architecting analytical solutions built on the Snowflake Data Cloud. The role involves conveying the strategic advantages and technical application of Snowflake's capabilities, addressing client inquiries, conducting follow-up engagements to facilitate sales progression, and articulating Snowflake's Application functionalities with comparative analysis. It also includes ascertaining client-defined success metrics, resolving client objections, developing tailored demonstrations, and articulating security, privacy, and governance considerations. The architect will act as the principal technical authority to customers, partner with account teams to drive POCs, and publish content to scale knowledge. While the company is powering the 'era of the agentic enterprise' and mentions AI as a collaborator, the core responsibilities are focused on solution architecture, sales support, and customer engagement for Snowflake's data platform, rather than direct AI/ML model development or research.

What you'd actually do

  1. Convey the strategic advantages and technical application of Snowflake's capabilities for Applications, address client inquiries, and conduct follow-up engagements to facilitate sales progression.
  2. Articulate Snowflake's Application functionalities and provide a comparative analysis with competitor offerings for prospective clients.
  3. Ascertain client-defined success metrics for the adoption and utilization of Snowflake's Application features.
  4. Recognize, address, and reconcile discrepancies between Snowflake's methodologies and client-specific requisites concerning Application features.
  5. Provide comprehensive resolutions to client objections and concerns.

Skills

Required

  • Data intensive Application architecture
  • SQL
  • SQL data modeling
  • Presentation skills
  • Kubernetes or Docker
  • Cloud providers (AWS, Azure, GCP)
  • Python programming

Nice to have

  • AWS Solution Architect Associate or similar
  • Other programing languages experience (Java, JavaScript)
  • Agentic applications and tools
  • Streamlit

What the JD emphasized

  • Data intensive Application architecture experience
  • SQL and SQL data modeling
  • Python programming experience