Snowflake Presales Architect

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**