Snowflake03.03.2026
Senior Data Cloud Architect - SI Partners
Полная занятостьУдалёнка
Обязанности
- 01Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration)
- 02Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption
- 03Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes
- 04Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys
- 05SI Partner Snowflake Practice Building (Focus on Production Readiness)
- 06COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments
- 07Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge
- 08Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation
- 09Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions)
- 10Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market
- 11Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides
- 12Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins
- 13AI/ML Focused work with SI partners (Hands-On Expertise)
- 14Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application
- 15Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization
- 16Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results
Требования
- 01REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments
- 02PLUS: Knowledge of competitive AI/ML platforms and solutions
- 03Extensive experience with cloud data platforms, preferably Snowflake
- 04Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow
- 05Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc.
- 06Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build
- 07Experience with developing AI/ML use cases including communicating AI/ML strategy and business value
- 08Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
- 09Experience in developing and deploying Machine Learning models through the full Data Science life cycle
- 10Expertise in data science programming languages including Python, SQL, Scala, and/or Spark
- 11Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP
- 12Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems
- 135+ years industry experience designing, building and supporting large-scale systems with a minimum of 3 years in a pre-sales role
- 14BS/MS/PhD in Computer Science or related majors