EY GDS Consulting AI and DATA Snowflake architect Cortex and AI Manager

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Job Description AI & Data - Snowflake architect - Cortex & AI - Manager

Experience: 10 years

Overview

We are seeking a seasoned Manager to lead solution demonstrations and build Proofs of Concept (PoCs) leveraging Snowflake Cortex and GenAI-driven solutions. The role involves owning technical storytelling through PoVs/PoCs mentoring teams and working closely with stakeholders to showcase Snowflake capabilities across industry use cases.

Key Roles & Responsibilities

• Lead and deliver end-to-end solution demos and PoCs using Snowflake Snowflake Cortex and related GenAI capabilities
• Design and author PoV/PoC assets showcasing Snowflake features and industry-specific use cases
• Translate business problems into scalable technical architectures and demo-ready solutions
• Act as a technical SME for Snowflake and associated data/AI platforms during client discussions and internal forums
• Collaborate with engineering data science and architecture teams to build innovative solutions
• Mentor and guide junior engineers and solution architects on best practices
• Contribute to solution accelerators reusable frameworks and demo repositories
• Support pre-sales client workshops and technical presentations when required

Mandatory Skills

• Snowflake hands-on experience with at least one end-to-end project
• Apache Spark (PySpark/SQL)
• Strong communication and stakeholder management skills
• Proven ability to explain complex technical concepts to non-technical audiences

Desired / Good-to-Have Skills

• GenAI concepts including Prompt Engineering
• Experience with Streaming technologies
• Exposure to DevOps / MLOps practices
• UI & API development using Streamlit React / Angular FastAPI
• Familiarity with modern data architectures and cloud-native solutions

Leadership Expectations

• Demonstrated experience leading technical teams or solution initiatives
• Ability to drive innovation quality and delivery excellence
• Strong ownership mindset with a balance of hands-on and strategic thinking

Education

• Bachelors or masters degree in computer science Information Systems Data Engineering or related field

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