Sr. Enterprise Data & AI Architect

Responsibilities

• Strategic Architecture Leadership
• 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).
• AI & Data Platform Architecture
• 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.
• Competitive & Market Insight
• 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.
• Executive Advisory & Engagement
• 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.
• Team Development & Operations
• 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.
• What You Bring
• 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, Engin

Additional Information

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. 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. 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.

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