We are looking for a highly skilled Snowflake Presales Architect with strong expertise in modern data platforms and emerging AI capabilities. This role will driveend-to-end presales for Data & AI opportunities, combining deep Snowflake knowledge with the ability to positionAI/ML-driven use casesfor enterprise customers.

The role demands a balance oftechnical depth, presales leadership, and innovation mindset, with ~50% billability on strategic engagements.

• Leadpresales solutioning for Data, Analytics, and AI-driven opportunitieswith Snowflake at the core

• Partner with sales toshape deals and position data + AI solutionsaligned to business outcomes

• Design scalable architectures leveragingSnowflake + AI/ML ecosystem (Snowpark, Cortex, external ML platforms)

• Conductdiscovery workshopsto identify opportunities forAI/GenAI use cases (e.g., predictive analytics, NLP, automation)

• BuildPOCs and demos showcasing AI-infused data platforms

• Definedata + AI architecture patterns, including data pipelines, feature engineering, and model integration

• Providesolution estimates, sizing, and cost optimization strategies

• Act as asolution anchor on delivery (~50% billable)for key programs

• Collaborate with partners (Snowflake, cloud, AI ecosystem) to drivejoint GTM initiatives

• Contribute toAI accelerators, reusable frameworks, and thought leadership

• 12+ years inData Engineering / Data Architecture / Analytics

• 4+ years of strong hands-on experience withSnowflake 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 inpresales / solution consulting roles

• Strong understanding of howdata platforms enable AI/ML use cases

• Working knowledge ofAI/ML concepts(feature engineering, model lifecycle, inference patterns)

• Exposure toSnowflake AI capabilities (Snowpark, Cortex)or similar ecosystems

• Familiarity withGenAI use cases(LLMs, embeddings, retrieval-augmented generation - RAG)

• Ability to positionbusiness-driven AI use cases(customer analytics, personalization, risk/fraud, automation)

• Experience integrating data platforms withML frameworks (e.g., Python-based ecosystems, external AI platforms)

• Understanding ofdata governance, privacy, and ethical AI considerations

• Experience with tools likeDatabricks, MLflow, Power BI, Tableau

• Exposure toMLOps / LLMOps concepts

• Snowflake certifications preferred

• Experience contributing toAI/data GTM strategies or industry solutions

• Strongclient engagement and storytelling skills (Data + AI narrative)

• Ability totranslate business problems into data + AI solutions

• Strategic mindset withsales orientation

• Strong collaboration acrosssales, delivery, and alliances

• Ability to operate in afast-paced, innovation-driven environment

• Contribution todeal wins and AI-led opportunities

• Quality and innovation insolution architecture

• Contribution toAI/data accelerators and GTM assets