Snowflake Presales Architect (Data & AI)

Jade Global, Inc; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Jade Global, Inc is seeking a highly skilled Snowflake Presales Architect based in Irving, Texas. This role focuses on end-to-end presales for Data and AI opportunities, leveraging strong Snowflake knowledge to drive innovation.

The ideal candidate will have over 12 years of experience in data engineering and at least 4 years with Snowflake, along with a strategic mindset to shape data solutions for enterprise clients.

Qualifications

• Minimum of 12 years in Data Engineering/Architecture.
• At least 4 years of hands-on experience with Snowflake.
• Experience with SQL and data modeling.
• Understanding of data governance and ethical AI.

Responsibilities

• Lead presales for Data, Analytics, and AI opportunities.
• Design scalable architectures using Snowflake + AI/ML.
• Conduct workshops to identify AI use case opportunities.
• Build POCs and demos showcasing AI-infused platforms.

Skills

Data Engineering

Snowflake Architecture

AI/ML Integration

ETL/ELT tools

Client Engagement

Tools

Databricks

Power BI

Tableau

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.
• Experience with 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.
• 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.