Director, AI & Data Enterprise Architecture

Snowflake2 weeks ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 252,000 – 330,700

Level

Director

Role

Director

Posted

Feb 24, 2026

Full TimeDirector

The role

Summary

Snowflake is seeking a Director of AI & Data Enterprise Architecture to lead specialized teams providing expert technical guidance for complex cloud integrations and AI transformations. This executive role combines deep technical AI/ML expertise with leadership skills to guide Fortune 500 enterprises through strategic data and AI modernization initiatives across AWS, Azure, and GCP environments.

What you'll do

Strategic Architecture Leadership: Lead and scale high-performing Enterprise Architect team for L400/L500 platform engagements

Cloud Integration Planning: Define and execute strategic integration across AWS, Azure, GCP and ecosystem platforms

AI/ML Architecture Design: Provide hands-on technical leadership in designing modern AI/ML architectures on Snowflake

Platform Migration Guidance: Guide customers migrating from legacy platforms to cloud-native, AI-ready architectures

Competitive Technical Analysis: Lead competitive analysis and develop strategic positioning for multi-platform environments

Executive Advisory Services: Serve as trusted technical advisor to customer executives on data and AI transformation

Team Development: Build, mentor and scale world-class team of enterprise architects

MLOps Pipeline Design: Design end-to-end MLOps and LLMOps pipelines including training, deployment, and monitoring

AI Security Architecture: Design secure AI/ML architectures with governance controls and data privacy protections

ROI Framework Development: Guide customers through AI investment decisions with ROI frameworks and TCO analysis

What we look for

Technical

AI/ML DevelopmentDeep hands-on experience with modern AI/ML development including LLMs and ML pipelines

Cloud Data PlatformsExpert-level knowledge of Snowflake, Databricks, AWS, Azure, GCP with multi-cloud architecture ability

Programming SkillsStrong technical foundation including SQL mastery and Python/data engineering skills

AI Architecture PatternsExpertise in MLOps/LLMOps pipelines, RAG systems, vector databases, and agentic frameworks

Modern Data StackExperience with modern data stack technologies and cloud-native solutions

Education

Bachelor's DegreeBachelor's degree in Computer Science, Engineering, or related technical field required

Advanced DegreeAdvanced degree preferred for enhanced technical depth

Experience

Enterprise Architecture15+ years of experience in enterprise architecture, solutions engineering, or technical leadership

People Management5+ years of people management experience building high-performing technical teams

Executive InfluenceProven track record influencing executive-level technology decisions at Fortune 500 enterprises

Competitive SellingExperience with competitive selling in complex enterprise deals involving platform strategies

Skills

Required skills

Enterprise Architecture15+ years progressive experience in technical leadership roles

AI/ML ExpertiseDeep hands-on experience with modern AI/ML development and LLM technologies

Cloud PlatformsExpert knowledge of major cloud data platforms and multi-cloud architecture

Executive CommunicationAbility to translate complex technical concepts for executive audiences

Team Leadership5+ years building and managing high-performing technical teams

Nice to have

Cloud Provider ExperienceArchitecture practice leadership at major cloud providers or enterprise software companies

Thought LeadershipPublished expertise in data architecture, AI/ML, or cloud transformation

Production AI SystemsDirect experience architecting and deploying production AI/ML systems at scale

Professional ServicesBackground in consulting or customer-facing technical roles

Compensation & benefits

Salary

USD 252,000 – 330,700 (annual)

Stock options

Available

Benefits

Competitive Salary

Industry-leading compensation package with significant upside potential

Equity Participation

Stock options and equity participation in high-growth cloud computing company

Professional Development

Opportunities for continuous learning and career advancement in cutting-edge technology

Innovation Culture

Work environment focused on impact, innovation, and collaboration

Industry Leadership

Opportunity to represent company at industry events and executive briefings

Interview process

1
Initial Screening — Phone/video screening with recruiting team to assess basic qualifications and cultural fit
2
Technical Leadership Interview — Deep dive into AI/ML architecture experience and technical leadership capabilities
3
Executive Panel — Panel interview with senior leadership focusing on strategic thinking and executive presence
4
Customer Scenario Assessment — Case study presentation on complex enterprise architecture challenges
5
Team Leadership Interview — Discussion of people management philosophy and team building experience
6
Final Executive Interview — Final interview with VP of Solutions Engineering and cross-functional leadership