Senior Enterprise Data & AI Architect, Snowflake

• At Snowflake, we are powering the era of the agentic enterprise. 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
• We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results
• This role blends deep hands on technical expertise with executive presence. You should be able to design sophisticated AI/ML solutions and comfortably influence technology strategy at Fortune 500 organizations
• 15+ years in enterprise architecture, solutions engineering, or similar technical leadership roles, with increasing scope
• Deep hands‑on AI/ML experience, including LLMs, ML pipelines, and AI application architectures
• Expert‑level knowledge of cloud data platforms (e.g., Snowflake, Databricks, AWS, Azure, GCP) and multi‑cloud architectures
• Proven track record influencing executive‑level technology decisions at large enterprises
• Strong understanding of AI governance, data privacy, and compliance for enterprise AI
• Solid technical foundation: SQL mastery, Python/data engineering, and familiarity with the modern data stack
• Experience in competitive enterprise selling, including platform displacement or co‑existence
• Expertise in modern AI architecture patterns (MLOps/LLMOps, RAG, vector databases, agentic frameworks)
• Evidence of building AI business cases and TCO models, and demonstrating measurable ROI
• Exceptional communication skills, with the ability to simplify complex concepts for executive audiences
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred

Desirable

• At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done
• Snowflake empowers enterprises and people to reach their full potential. Our culture is centered on impact, innovation, and collaboration, creating a place where you can build big, move fast, and grow your career
• We’re looking for a Sr Enterprise Data & AI Architect to join a specialized team that guides our largest customers through complex data and AI transformations. Reporting to the Director of AFE Architecture, this person will:
• Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud
• Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML
• Advise C‑level executives (e.g. CTO, CDO, VP Engineering) on strategic architecture decisions and investment choices
• Be part of a specialized team scaling thought leadership and driving direct complex, architecture‑level customer engagements (L400/L500) across the entire Snowflake sales organization
• Define and drive cloud integration strategies across major cloud providers and key ecosystem partners
• Oversee and build proofs of concept, migrations, and modernization programs, providing hands‑on technical guidance
• Create reusable assets (presentations, reference architectures, and implementation guides)
• Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications
• Guide customers in moving from legacy to cloud‑native, AI‑ready architectures
• Architect solutions leveraging Snowflake Cortex, ML capabilities, and integrations with leading AI frameworks
• Ensure secure, governed AI/ML deployments, including LLM safety, data privacy, and compliance
• Define MLOps/LLMOps and RAG/agentic patterns for training, deployment, and monitoring at scale
• Advise on build vs. buy decisions and cost models for training, inference, and managed AI services
• Develop a deep understanding of competitive cloud data and AI platforms and how Snowflake differentiates
• Build competitive playbooks, battle cards, and guidance for field teams
• Partner with Product and Engineering to inform a roadmap based on customer and competitive insights
• Act as a trusted advisor to senior technology and business executives on data and AI transformation
• Lead high‑stakes customer reviews where architecture choices have major strategic and financial impact
• Represent Snowflake at industry events, executive briefings, and strategic forums
• Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis
• Mentor, and develop a world‑class enterprise architecture practice across the broader solution engineering organizations
• Drive knowledge sharing and continuous learning within the team and across Sales, Customer Success, and Product

• The application window is expected to be open until May 27, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date