Snowflake28.04.2026
Sr. Enterprise Data & AI Architect
Полная занятостьUS-CA-Menlo Park
Обязанности
- 01Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud
- 02Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML
- 03Advise C-level executives on strategic architecture decisions and investment choices
- 04Define and drive cloud integration strategies across major cloud providers and key ecosystem partners
- 05Oversee and build proofs of concept, migrations, and modernization programs
- 06Create reusable assets (presentations, reference architectures, and implementation guides)
- 07Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications
- 08Guide customers in moving from legacy to cloud-native, AI-ready architectures
- 09Architect solutions leveraging Snowflake Cortex, ML capabilities, and integrations with leading AI frameworks
- 10Ensure secure, governed AI/ML deployments, including LLM safety, data privacy, and compliance
- 11Define MLOps/LLMOps and RAG/agentic patterns for training, deployment, and monitoring at scale
- 12Advise on build vs. buy decisions and cost models for training, inference, and managed AI services
- 13Develop deep understanding of competitive cloud data and AI platforms
- 14Build competitive playbooks, battle cards, and guidance for field teams
- 15Partner with Product and Engineering to inform roadmap based on customer and competitive insights
- 16Act as trusted advisor to senior technology and business executives on data and AI transformation
- 17Lead high-stakes customer reviews where architecture choices have major strategic and financial impact
- 18Represent Snowflake at industry events, executive briefings, and strategic forums
- 19Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis
- 20Mentor and develop world-class enterprise architecture practice
- 21Drive knowledge sharing and continuous learning within team and across Sales, Customer Success, and Product
Требования
- 0115+ years in enterprise architecture, solutions engineering, or similar technical leadership roles with increasing scope
- 02Deep hands-on AI/ML experience including LLMs, ML pipelines, and AI application architectures
- 03Expert-level knowledge of cloud data platforms and multi-cloud architectures
- 04Proven track record influencing executive-level technology decisions at large enterprises
- 05Strong understanding of AI governance, data privacy, and compliance for enterprise AI
- 06Solid technical foundation: SQL mastery, Python/data engineering, and familiarity with modern data stack
- 07Experience in competitive enterprise selling including platform displacement or co-existence
- 08Expertise in modern AI architecture patterns (MLOps/LLMOps, RAG, vector databases, agentic frameworks)
- 09Evidence of building AI business cases and TCO models, and demonstrating measurable ROI
- 10Exceptional communication skills with ability to simplify complex concepts for executive audiences
- 11Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
Условия
- 01Application window expected to be open until May 27, 2026
- 02Opportunity remains posted based on business needs