About The 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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