Sr. Technical Architect

Snowflake Snowflake · Data AI · Ontario-Toronto, CA · Professional Services

Senior Technical Architect for Snowflake's Services Delivery team, focusing on architecting and implementing end-to-end AI/ML solutions on Snowflake for enterprise customers. This role involves customer leadership, technical advisory, defining MLOps practices, driving adoption of Snowflake's AI products, and leading replatforming efforts for AI/ML workloads. The ideal candidate has extensive experience in solutions architecture, data and AI platforms, Snowflake, and the AI/ML lifecycle, with a strong understanding of MLOps and Python/SQL.

What you'd actually do

  1. Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment
  2. Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management
  3. Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery
  4. Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams
  5. Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations

Skills

Required

  • Solutions architecture
  • Technical consulting
  • Data engineering
  • Customer-facing technical role
  • Snowflake production environments
  • Data modeling
  • Performance tuning
  • Security design
  • Platform governance
  • Full data analytics stack
  • ETL
  • Data pipelines
  • BI tooling
  • Semantic layers
  • AI/ML lifecycle
  • Data preparation
  • Feature engineering
  • Model training
  • Model deployment
  • Model monitoring
  • Model governance
  • SQL
  • Python
  • Production-quality code
  • MLOps frameworks
  • Model lifecycle management
  • Senior technical and executive stakeholders

Nice to have

  • Generative AI
  • Large language model (LLM) use cases in production
  • Center of Excellence
  • Architectural standards
  • Services organization of a technology product company
  • AWS certification
  • Google Cloud certification
  • Microsoft Azure certification
  • Snowflake SnowPro Advanced Certification
  • Industry vertical expertise

What the JD emphasized

  • AI/ML solutions on Snowflake
  • MLOps practices
  • AI/ML lifecycle
  • enterprise scale

Other signals

  • AI/ML solutions on Snowflake
  • MLOps practices
  • Snowflake's AI product suite
  • replatforming AI/ML workloads