Snowflake Presales Architect (Data & AI)

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.