Director of AI & Data Enterprise Architecture, Snowflake

• The ideal executive combines deep technical and hands-on AI development experience to help enterprises modernize data and AI infrastructure and navigate competitive landscapes
• This role requires a unique blend of executive leadership presence and technical depth, someone who can architect sophisticated AI/ML solutions while also influencing C-level technology decisions across Fortune 500 enterprises
• 15+ years of experience in enterprise architecture, solutions engineering, or technical leadership roles with progressive responsibility
• 5+ years of people management experience, including building and leading high-performing technical teams in high-growth environments
• Deep hands-on experience with modern AI/ML development, including familiarity with LLMs, ML pipelines, and AI application architecture
• Expert-level knowledge of cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) with ability to architect complex multi-cloud solutions
• Proven track record of influencing executive-level technology decisions at Fortune 500 enterprises
• Understanding of AI governance, data privacy, and compliance requirements for enterprise AI deployments
• Strong technical foundation including SQL mastery, Python/data engineering skills, and experience with modern data stack technologies
• Experience with competitive selling in complex enterprise deals involving platform displacement or co-existence strategies
• Expertise in modern AI architecture patterns: MLOps/LLMOps pipelines, RAG systems, vector databases, and agentic frameworks
• Track record of building AI business cases, TCO models, and demonstrating measurable ROI from AI investments
• Exceptional communication skills with ability to translate complex technical concepts for executive audiences
• Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred
• Experience leading architecture practices at major cloud providers or enterprise software companies
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake

Desirable

• Snowflake is seeking a Director of AI & Data Enterprise Architecture to lead a specialized team providing expert technical guidance for complex cloud integration and strategic scenarios
• Reporting to the VP of Solutions Engineering, this leader will guide customers through transformational journeys across AWS, Azure, GCP, and Data Platform environments, delivering strategic architectural guidance to accelerate adoption and drive measurable business outcomes
• The role intersects platform architecture, data intelligence, and AI solutions
• You'll lead and scale a high-performing Enterprise Architect team providing expert technical guidance for L400/L500 platform and architecture-focused customer engagements
• Define and execute strategic cloud integration planning across major Cloud Service Providers (AWS, Azure, GCP) and ecosystem platforms
• Drive proof-of-concept execution and hands-on technical support for complex migration and modernization initiatives
• Develop reusable technical assets including presentations, architecture diagrams, and reference implementations
• You'll provide hands-on technical leadership in designing and implementing modern AI/ML architectures on Snowflake
• Guide customers in migrating from legacy platforms to cloud-native, AI-ready data architectures
• Architect solutions leveraging Snowflake Cortex, ML capabilities, and integration with leading AI frameworks
• Deliver technical guidance on building production-grade AI applications, data pipelines, and analytics platforms
• Design secure AI/ML architectures with appropriate governance controls, including LLM safety guardrails and data privacy protections
• Design end-to-end MLOps and LLMOps pipelines including model training, evaluation, deployment, and monitoring at enterprise scale
• Architect RAG (Retrieval-Augmented Generation) systems, agentic workflows, and multi-model orchestration patterns
• Evaluate AI & Platform build vs. buy decisions, including cost modeling for inference, fine-tuning, and managed AI services
• Lead competitive technical analysis and develop strategic positioning for complex, multi-platform customer environments
• Build deep expertise in competitive cloud data platforms and articulate Snowflake's differentiated value proposition
• Create technical battle cards, competitive playbooks, and strategic guidance for field teams
• Partner with Product and Engineering to inform roadmap priorities based on competitive landscape
• Serve as a trusted technical advisor to customer executives navigating complex data and AI transformation initiatives
• Lead high-stakes customer engagements where architectural decisions have significant strategic implications
• Build and maintain relationships with key customer stakeholders and technology decision-makers
• Represent Snowflake at industry events, executive briefings, and strategic customer forums
• Guide customers through AI investment decisions with ROI frameworks, TCO analysis, and business case development
• Build, mentor, and scale a world-class team of enterprise architects with expertise spanning cloud platforms, AI/ML, and competitive analysis
• Establish scalable processes for team member engagement including request intake, prioritization, and account strategy alignment
• Drive knowledge sharing and continuous learning across the architecture team
• Partner with Sales, Customer Success, and Product teams to maximize customer outcomes