Snowflake Presales Architect (Data & AI)

Job description

Snowflake Presales Architect (Data & AI)1 Role Overview We are looking for a highly skilled Snowflake Presales Architect with strong expertise in modern data platforms and emerging AI capabilities. This role will drive end-to-end presales for Data & AI opportunities , combining deep Snowflake knowledge with the ability to position AI/ML-driven use cases for enterprise customers. The role demands a balance of technical depth, presales leadership, and innovation mindset , with ~50% billability on strategic engagements. 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 Key Competencies Strong client engagement and storytelling skills (Data + AI narrative) Ability to translate business problems into data + AI solutions Strategic mindset with sales orientation Strong collaboration across sales, delivery, and alliances Ability to operate in a fast-paced, innovation-driven environment Success Metrics Contribution to deal wins and AI-led opportunities Quality and innovation in solution architecture Contribution to AI/data accelerators and GTM assets