Snowflake Presales Architect (Data & AI)
AI summary of the role
This is a presales architect role at Jade Global, focused on Snowflake-based Data & AI solutions.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead presales solutioning for Data, Analytics, and AI-driven opportunities with Snowflake at the core
- Design scalable architectures leveraging Snowflake + AI/ML ecosystem (Snowpark, Cortex, external ML platforms)
- Conduct discovery workshops to identify opportunities for AI/GenAI use cases
- Build POCs and demos showcasing AI-infused data platforms
What you’ll bring
- 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, modern data stack, ETL/ELT tools, SQL, performance tuning, and data modeling
- Experience with at least one cloud: AWS / Azure / GCP
Technologies
Snowflake · Snowpark · Cortex · dbt · Informatica · SQL · AWS · Azure · GCP · Python
Source and classification
Technical pre-sales · Evidence for this classification:
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
More from the job description
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 [... source excerpt omitted ...] owpark, 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 Str
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