Sr. Technical Architect

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. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 26, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. 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

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 is seeking a Sr. Director, GTM Systems, Process & Operations to lead our global GTM Systems function, reporting to the SVP of Revenue Strategy and Operations. This executive role governs and evolves our end-to-end GTM technology stack, data architecture, and revenue intelligence foundation — overseeing Quote-to-Cash, Core Sales Technology, and GTM Shared Services to maximize field performance and revenue velocity. As a key leader in Snowflake's AI-native RevOps evolution, you will inherit a highly capable team and push it further — ensuring Snowflake's own revenue operations are the best proof point for Snowflake's technology. Key Responsibilities * Platform Strategy & Architecture: Own the long-term roadmap for global GTM data and technology. Set architectural direction for the revenue intelligence platform — what gets built, governed, and retired. Maintain rigorous MDM, data hygiene, and release management in partnership with IT. * AI-Native Operations: Lead a team already at the forefront of AI adoption in GTM. Define how AI agents, automated workflows, and data pipelines replace manual data production — and shift the team's focus toward governance, architecture, and strategic advisory work. * Revenue Velocity: Standardize global sales workflows and streamline Quote-to-Cash to reduce cycle times and field friction. Ensure the GTM data layer is fast, reliable, and trusted enough for field leaders to act on without verification overhead. * Field Support: Provide strategic leadership for the Field Support organization, integrating specialized deal support with centralized operational execution to optimize field productivity and customer success. * Cross-Functional Leadership: Partner with IT, Sales, Product, Finance, Legal, and Partner Operations to scope and deliver complex GTM capabilities. Hold a platform position — setting the agenda for what the revenue data layer enables. * Team Leadership: Manage and grow a global team of Directors, Senior Managers, and specialists across QTC, Core Sales, and Shared Services. Drive the cultural and capability shifts required to lead — not follow — the pace of change. * Buy vs. Build Governance: Oversee procurement and integration of third-party technologies. Evaluate AI tooling critically, distinguishing genuine capability from hype. * Snowflake on Snowflake: Partner with Product and Data Engineering to embed Snowflake's AI and data capabilities directly into internal GTM workflows. This org is the reference architecture for enterprise revenue operations running on Snowflake. MINIMUM QUALIFICATIONS * 15+ years of professional experience, with 8+ years leading Sales Operations, GTM Systems, or Revenue Intelligence functions in a high-growth B2B SaaS or enterprise technology environment * Proven success managing global, multi-layered teams across system configuration, process design, and SLA-driven shared services operations * Deep expertise in the Salesforce ecosystem (SFDC, CPQ, CLM) and master data management platforms * Experience governing the integration between Salesforce and a cloud data warehouse (Snowflake, Databricks, or equivalent) as the analytical layer * Demonstrated ability to drive executive alignment through data, manage competing priorities, and communicate across technical and business audiences PREFERRED QUALIFICATIONS * Experience leading a GTM operations or revenue systems team through a transition from data delivery to AI-governed data architecture — not just introducing AI tools, but redesigning how the team's work is organized around them * Working knowledge of AI agent deployments in a revenue operations context, including LLM-based agent governance within CRM and data warehouse systems * Demonstrated ownership of metric definitions, data quality infrastructure, or a "single source of truth" initiative at a revenue data architecture level — serving multiple downstream consumers * Track record of leading organizational transformation through technology-driven change — sustaining momentum through ambiguity and retaining key talent during rapid evolution * Executive presence and credibility with peer VPs and SVPs — able to hold a platform position in cross-functional conversations without defaulting to compliance Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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