# Sr. Enterprise Data & AI Architect

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA, Bellevue, WA, New York, NY, Denver, CO, Atlanta, GA
**Role:** Solutions Architecture
**Salary:** $208k – $273k/yr
**Experience:** 15+ years
**Skills:** Snowflake, AWS, Azure, GCP, AI/ML, LLMs, MLOps, Llmops, RAG, Python, SQL, Snowflake Cortex, Vector Databases, Databricks, Multi-Cloud
**Posted:** 2026-04-27

> Designs and leads enterprise data and AI architectures on Snowflake across major clouds, provides hands-on technical guidance for complex customer transformations, and advises C-level executives on AI strategies and investments. Requires 15+ years experience with deep AI/ML and cloud expertise.

## Job Description

## 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

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