Snowflake

Snowflake

Sr. Technical Architect

US-CA-Menlo Park · Senior

Sponsorship not specifiedDetected 12 days ago
PythonSQLSnowflakeAWSGCPAzureMachine LearningData AnalysisData EngineeringData ScienceNLPLLMsMLOpsLeadership

About the role

  • To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
  • You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
  • At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Responsibilities

  • Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations
  • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives
  • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment
  • Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery
  • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams
  • Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
  • Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise
  • Experience as a technical lead on multi-team or multi-vendor delivery programs

Requirements

  • 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
  • Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership
  • Hands-on experience with generative AI and large language model (LLM) use cases in production

Compensation

  • 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 http://careers.snowflake.com

Benefits

  • Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)

This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.