Snowflake Presales Architect (Data & AI)

Snowflake Presales Architect (Data & AI)1Role 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