Snowflake Presales Architect (Data & AI)

San Jose, CA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Leadership
  • Data Analysis
  • Predictive Analytics
  • Natural Language Processing
  • Estimating
  • Optimization
  • Thought Leadership
  • Data Engineering
  • Data Architecture
  • Analytics
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • ELT
  • Informatica
  • SQL Tuning
  • Data Modeling
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Presales
  • Generative Artificial Intelligence (AI)
  • Use Cases
  • Customer Analysis
  • Fraud
  • Machine Learning (ML)
  • Python
  • Data Governance
  • Privacy
  • Databricks
  • Microsoft Power BI
  • Tableau
  • Machine Learning Operations (ML Ops)
  • Snow Flake Schema
  • Customer Engagement
  • Collaboration
  • Sales
  • WINS
  • Innovation
  • Solution Architecture
  • Artificial Intelligence
  • Google Tag Manager (GTM)

Summary

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 / 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10112572
  • Position Id: 249a4ec769b629f0d8ec571a1e1bfef8
  • Posted 11 hours ago
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