Sr. Enterprise Data & AI Architect

Snowflake2 days ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 208,000 – 273,000

Level

Senior

Role

Enterprise Data & AI Architect

Posted

Apr 27, 2026

Full TimeSenior

The role

Summary

A senior-level enterprise architecture role at Snowflake that bridges deep technical expertise with strategic leadership, focusing on guiding large enterprises through complex data and AI transformations across cloud platforms. The role requires an exceptional blend of hands-on technical skills, executive communication, and innovative thinking in cloud data and AI architectures.

What you'll do

Strategic Architecture: Define cloud integration strategies across major providers and ecosystem partners

AI/ML Solution Design: Design and review modern AI/ML architectures, including data platforms, pipelines, and production applications

Executive Engagement: Act as a trusted advisor to senior technology executives on data and AI transformation

Competitive Analysis: Develop deep understanding of competitive cloud data and AI platforms

What we look for

Technical

Cloud ExpertiseExpert-level knowledge of cloud data platforms and multi-cloud architectures

AI/ML Technical SkillsAdvanced understanding of AI/ML technologies, including LLMs and ML pipelines

Data EngineeringProficiency in SQL, Python, and modern data stack technologies

Education

Bachelor's DegreeComputer Science, Engineering, or related technical field

Advanced DegreePreferred but not mandatory

Experience

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

Executive AdvisoryProven track record of influencing high-level technology decisions

AI StrategyExperience in developing AI business cases and demonstrating ROI

Skills

Required skills

Cloud ArchitectureExpert-level knowledge of multi-cloud architectures across AWS, Azure, and GCP

AI/ML ArchitectureDeep hands-on experience with AI/ML solutions, LLMs, and ML pipelines

Data PlatformsAdvanced understanding of cloud data platforms like Snowflake, Databricks

Technical LeadershipAbility to provide technical guidance and influence executive-level decisions

Nice to have

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

Consulting ExperienceBackground in professional services or customer-facing technical roles

Production AI SystemsDirect experience architecting and operating AI/ML systems at scale

Compensation & benefits

Salary

USD 208,000 – 273,000 (annual)

Stock options

Available

Benefits

Professional Development

Opportunities for continuous learning and mentorship

Innovative Work Environment

Dynamic, fast-moving culture focused on AI and technological innovation

Strategic Impact

Chance to shape enterprise data and AI transformation strategies

Interview process

1
Initial Screening — Technical resume review and initial phone/video screening
2
Technical Interview — Deep-dive into technical expertise, cloud architecture, and AI/ML capabilities
3
Executive Interview — Assessment of strategic thinking and executive communication skills
4
Final Panel — Comprehensive evaluation by senior leadership and potential team members