Senior Data Cloud Architect - SI Partners

Job Summary

The Senior Data Cloud Architect - SI Partners role at Snowflake is dedicated to empowering System Integrator partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. This role focuses on strategic alignment, accelerated POCs and RFPs, rapid deployment frameworks, COE building, capability maturity, targeted communication, joint solution development, and hands-on expertise with AI/ML.

Key Responsibilities

• Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration)
• Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption.
• Expedited POCs and RFPs: Support partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes.
• Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys.
• Snowflake Practice Building (Focus on Production Readiness): COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE).
• Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge.
• Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation.
• Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market.
• Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides.
• Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins.
• AI/ML Focused Work with SI partners (Hands-On Expertise): Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst.
• Support partners in implementing end-to-end ML development and MLOps using Snowflake ML.
• Advise partners on using Cortex AI for unstructured data analytics.

Requirements

• Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments.
• Knowledge of competitive AI/ML platforms and solutions.
• Extensive experience with cloud data platforms, preferably Snowflake.
• Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow.
• Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc.
• Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build.
• Experience in developing and deploying Machine Learning models through the full Data Science life cycle.
• Expertise in data science programming languages including Python, SQL, Scala, and/or Spark.
• Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP.
• Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.
• 5+ years industry experience designing, building and supporting large-scale systems with a minimum of 3 years in a pre-sales role.
• BS/MS/PhD in Computer Science or related majors.