Snowflake Presales Architect (Data & AI)

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