Sr. Technical Architect

What you’ll do

• Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations
• Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability
• Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management
• Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery

What you’ll bring

• 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
• Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
• Expert-level understanding of the full data analytics stack, from ETL and data pipelines to BI tooling and semantic layers
• Strong grasp of the AI/ML lifecycle, from data preparation through model training, deployment, monitoring, and governance

Technologies

Snowflake · Cortex · Streamlit · Snowflake Intelligence · MLOps · SQL · Python · AWS · Azure · GCP

About Snowflake

Cloud-native data platform letting enterprises run analytics, AI/ML, and apps on governed data across AWS, Azure, and GCP without moving it.

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