Industry Architect – Retail & Consumer Goods

What You’ll Do

Lead strategic customer engagements
Partner with CIOs, CDOs, CTOs, enterprise architects, digital leaders, merchandising leaders, supply chain teams, marketing and loyalty leaders, store operations leaders, and data/AI teams on high-impact initiatives tied to business value.

Translate retail and CPG challenges into end-to-end architectures
Turn real industry problems into clear solution patterns and roadmaps, including:

• demand sensing and replenishment
• inventory and fulfillment optimization
• store and field operations
• loyalty and customer intelligence
• retail media and monetization
• pricing, promotion, and assortment
• customer care and service workflows
• product, catalog, and content intelligence
• revenue growth and commercial planning

Design agentic and AI-powered business workflows
Help customers move beyond dashboards and isolated models toward named agents, copilots, and decision-support experiences embedded in real workflows across digital and physical channels.

Architect the “last mile” experience
Design how business users actually experience Snowflake, including:

• conversational and natural-language interfaces
• embedded AI experiences in partner or customer-facing apps
• governed analytics and semantic layers
• multimodal workflows that combine structured and unstructured data
• operational experiences for business, analyst, and technical personas

Learn and leverage Snowflake’s broader platform capabilities
Continuously translate Snowflake Horizon, Cortex, Snowflake Intelligence, semantic layers, apps, clean rooms, marketplace, and interoperability capabilities into retail and CPG architectures.

Build compelling prototypes and demonstrations
Create hands-on reference implementations that bring the story to life using Snowflake capabilities such as Cortex, Snowflake Intelligence, Cortex Search, Cortex Analyst, semantic models/views, Streamlit, and related ecosystem integrations.

Create reusable, field-ready assets
Package your work into repeatable assets the field can use:

• reference architectures and blueprints
• workshop kits and persona journeys
• demo flows and value stories
• industry playbooks and partner patterns
• solution points of view and technical narratives

Shape Snowflake’s Retail & Consumer Goods point of view
Work with Industry GTM, product marketing, product management, sales, and solution engineering to sharpen Snowflake’s perspective on modern retail and consumer goods architecture, especially as AI becomes embedded into core business workflows.

Be the voice of the customer
Surface industry trends, design gaps, and product requirements to help influence Snowflake’s roadmap and improve how our platform supports retail and CPG workloads.

Build ecosystem and partner leverage
Collaborate with GSIs, regional SIs, ISVs, data providers, and marketplace participants to define joint solution offerings and accelerate customer value.

Enable others and scale your impact
Share your expertise through enablement, customer workshops, blogs, webinars, conferences, and internal best practices so the organization can scale beyond one-off engagements.

Who You Are

• Retail and Consumer Goods fluent: deep understanding of the retail and/or consumer goods landscape across multiple domains (merchandising, supply chain, store operations, loyalty, retail media, customer care, and finance)
• Architect at heart, storyteller by nature: simplify complex ideas into clear business and technical narratives, create future-state architectures
• Hands-on with data and AI: strong architecture experience across modern data platforms, cloud, analytics, AI/ML, and application patterns; comfortable working with SQL and Python
• Fluent in modern AI patterns: apply LLMs, RAG, semantic models, search, agentic orchestration, multimodal data, and governed AI patterns to real business problems; understand interoperability and protocol landscape (MCP, A2A, UCP, ACP, AP2)
• Customer-facing and outcomes-oriented: comfortable engaging senior executives and technical teams, facilitating workshops, whiteboarding future-state architectures
• Collaborative by default: track record of partnering across sales, solution engineering, product, partners, and marketing

Preferred Background

• 10+ years of experience building, consulting on, or implementing technology for Retail & Consumer Goods organizations
• Strong understanding of Retail & Consumer Goods data domains, systems, and processes
• Experience designing enterprise data, analytics, AI, and application architectures
• Familiarity with structured and unstructured data patterns, semantic layers, and text-to-SQL or search-driven experiences
• Experience building or guiding data and AI applications