Principal Data Cloud Architect - SI Partners

Навыки

• AI-инструменты в работе
• AWS
• Azure
• Big Data
• CI/CD
• CJM / JTBD
• Распределённые системы

О компании и продукте

• At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools. PRINCIPAL DATA CLOUD ARCHITECT - SI PARTNERS. We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation
• This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners

Задачи

• IN THIS ROLE YOU WILL PERFORM
• Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration)
• Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization
• Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results
• Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions

Требования

• Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments
• PLUS: 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 with developing AI/ML use cases including communicating AI/ML strategy and business value
• Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda
• 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
• 10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role
• BS/MS/PhD in Computer Science or related majors
• This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
• Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs
• Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience
• Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge

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