Why This Job is Featured on The SaaS Jobs
This Senior Enterprise Data and AI Architect role sits at the intersection of cloud data platforms and applied AI, a core seam of today’s SaaS ecosystem. Snowflake operates as a foundational layer for modern analytics and AI workloads, and the remit described centers on shaping reference architectures across major clouds while anchoring on the Snowflake Data Cloud. For SaaS professionals, that combination signals work that is less about a single application and more about repeatable platform patterns that enterprises adopt at scale.
From a career perspective, the position builds durable SaaS leverage in three areas: designing governed data and AI systems that can move from proof of concept to production, translating technical tradeoffs into executive-level decisions, and codifying solutions into reusable assets that scale across customer environments. Experience spanning MLOps and LLMOps, security and compliance, and multi-cloud integration tends to transfer well across data infrastructure vendors, SaaS platforms, and AI product organizations.
The role is best suited to senior technologists who enjoy customer-facing architecture work and can alternate between hands-on design and strategic advisory conversations. It will fit professionals who prefer ambiguous problem spaces, can standardize solutions without overfitting to one client, and want their SaaS impact measured through adoption patterns and architecture outcomes rather than internal feature delivery.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
Key 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, Engineering, or related field; advanced degree preferred.
Preferred
Experience leading architecture practices at a major cloud provider or enterprise software company.
Published thought leadership in data architecture, AI/ML, or cloud transformation.
Direct experience architecting and operating production AI/ML systems at scale.
Background in professional services, consulting, or customer‑facing technical roles.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. 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.
How do you want to make your impact?
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
