Job Description
Job Description 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 / Google Cloud Platform 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 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity.