Sr. Enterprise Data & AI Architect

Responsibilities

• Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud
• Provide hands-on technical leadership in Enterprise Data Platforms, AI/ML, and data-driven organizational culture
• Advise C-level executives on strategic architecture decisions and investment choices
• Design modern AI/ML architectures, including data pipelines, production applications, and MLOps/LLMOps patterns
• Oversee proofs of concept, migrations, and modernization programs
• Develop competitive playbooks and partner with Product and Engineering to inform roadmaps
• Mentor and develop the enterprise architecture practice across solution engineering organizations

Requirements

• 15+ years in enterprise architecture, solutions engineering, or technical leadership
• Deep hands-on AI/ML experience including LLMs, ML pipelines, and AI application architectures
• Expert-level knowledge of cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP)
• Proven track record influencing executive-level technology decisions at large enterprises
• Strong understanding of AI governance, data privacy, and compliance
• Technical proficiency in SQL, Python, and the modern data stack
• Expertise in MLOps/LLMOps, RAG, vector databases, and agentic frameworks
• Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• Experience leading architecture practices at a major cloud provider or enterprise software company
• Published thought leadership in data architecture or AI/ML
• Direct experience architecting and operating production AI/ML systems at scale
• Background in professional services, consulting, or customer-facing technical roles

About the Company

Snowflake empowers enterprises and people to reach their full potential through the Snowflake Data Cloud, driving innovation in the era of the agentic enterprise.