Sr. Technical Architect
AI summary of the role
Senior Technical Architect on Snowflake's Services Delivery team, owning technical delivery and outcomes for complex, high-priority customer engagements.
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, 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 data platform architecture, BI tooling, and semantic layers
- Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance
Technologies
Snowflake · Cortex · Streamlit · Snowflake Intelligence · MLOps · SQL · Python · ETL · BI · AWS · Google Cloud · Azure
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.
Public
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