Snowflake Presales Architect (Data & AI)

Key Responsibilities

• Lead presales solutioning for Data, Analytics, and AI-driven opportunities with Snowflake at the core
• Partner with sales to shape deals and position data + AI solutions aligned to business outcomes
• Design scalable architectures leveraging Snowflake + AI/ML ecosystem (Snowpark, Cortex, external ML platforms)
• Conduct discovery workshops to identify opportunities for AI/GenAI use cases (e.g., predictive analytics, NLP, automation)
• Build POCs and demos showcasing AI-infused data platforms
• Define data + AI architecture patterns, including data pipelines, feature engineering, and model integration
• Provide solution estimates, sizing, and cost optimization strategies
• Act as a solution anchor on delivery (~50% billable) for key programs
• Collaborate with partners (Snowflake, cloud, AI ecosystem) to drive joint GTM initiatives
• Contribute to AI accelerators, reusable frameworks, and thought leadership

Required Skills & Qualifications

• 12+ years in Data Engineering / Data Architecture / Analytics
• 4+ years of strong hands-on experience with Snowflake implementations and architecture
• Solid understanding of: Data warehousing, lakehouse, and modern data stack
• ETL/ELT tools (dbt, Informatica, etc.), SQL, performance tuning, and data modeling
• Experience with at least one cloud: AWS / Azure / GCP
• Proven experience in presales / solution consulting roles
• Strong understanding of how data platforms enable AI/ML use cases
• Ai-Specific Expectations:
  • Working knowledge of AI/ML concepts (feature engineering, model lifecycle, inference patterns)
  • Exposure to Snowflake AI capabilities (Snowpark, Cortex) or similar ecosystems
  • Familiarity with GenAI use cases (LLMs, embeddings, retrieval-augmented generation - RAG)
  • Ability to position business-driven AI use cases (customer analytics, personalization, risk/fraud, automation)
  • Experience integrating data platforms with ML frameworks (e.g., Python-based ecosystems, external AI platforms)
  • Understanding of data governance, privacy, and ethical AI considerations

Preferred Qualifications

• Experience with tools like Databricks, MLflow, Power BI, Tableau
• Exposure to MLOps / LLMOps concepts
• Snowflake certifications preferred
• Experience contributing to AI/data GTM strategies or industry solutions