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