Snowflake Presales Architect (Data & AI)

About this role

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

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