Responsibilities
- Manage a portfolio of new and early-stage customers and own their technical success, adoption, consumption trajectory, and customer needs.
- Advise customers on data strategy, technology stack integration, platform activation, and successful use-case delivery.
- Provide Snowflake-specific architecture guidance covering workload isolation, warehouse utilization, resource monitoring and alerts, budgeting, and RBAC/security setup.
- Use AI-powered development tools and automation to accelerate technical solutions and implementation guidance.
- Collaborate with account teams, Professional Services, Support, Product Management, Engineering, and external partners to coordinate resources and resolve risks.
- Create and deliver scalable customer programs such as hands-on labs and webinars.
- Triage customer inquiries, support demos and troubleshooting, and identify potential business value for the Expansion team.
- Provide field feedback to influence future product development.
Requirements
- Hands-on SQL experience is required.
- Strong foundational knowledge of data architecture, data analytics, and AWS, Azure, and Google Cloud is required.
- A university degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience in a technical role, is required.
- Strong written and verbal communication skills and the ability to explain technical concepts to diverse audiences are required.
- The ability to manage multiple projects and use project management skills to drive customers toward agreed timelines is required.
- SnowPro Core certification is preferred.
- Python, Java, or Scala proficiency, particularly in data or application development, is preferred.
- Experience with modern data technologies, basic data science knowledge, and interest or experience using AI-powered development tools and coding agents are preferred.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.