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Snowflake is seeking a Senior Technical Architect to join its Services Delivery organization. You will lead complex, high-priority customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across multi-workstream implementations. You'll partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives.
Key responsibilities include architecting and implementing end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability. You will define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management. You'll drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery.
You'll lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams. As a trusted escalation point for technical challenges, you'll unblock delivery teams and resolve architectural issues. You'll also act as a bridge between Services Delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction.
The ideal candidate has 8+ years of experience in solutions architecture, technical consulting, data engineering, or senior customer-facing technical roles. You'll have demonstrated expertise leading architecture decisions on large-scale enterprise data and AI platforms, with deep hands-on experience implementing Snowflake in production environments. Expert-level understanding of the full data analytics stack is required, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers. Strong grasp of the AI/ML lifecycle, from data preparation through model governance, is essential. Proficiency in SQL and Python, with ability to produce and review production-quality code, is required. You'll mentor junior architects and consultants, contribute to reusable architecture patterns, and help shape how Snowflake delivers at scale.
