Activation Solution Engineer

Snowflake is a company focused on empowering enterprises and individuals through innovation and collaboration. The Activation Solution Engineer plays a vital role in accelerating customer adoption of the Snowflake AI Data Cloud, ensuring technical success and driving utilization through strategic guidance and technical enablement.

Responsibilities:

• Lead Your Account Micro-Business: Take ownership of the technical success and consumption trajectory within your assigned portfolio, driving adoption metrics in your assigned accounts, acting as a single point of contact for all customer needs
• Driving Outcome-Based Utilization: Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud helps them solve complex data challenges and unlock maximum business value—not just product features
• Strategic Advisory and Guidance: Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases
• Deliver Technical Value with AI: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production
• Architectural Leadership: Provide customers with critical, Snowflake-specific foundational guidance, including Architectural Best Practices, Workload Isolation & Warehouse Utilization, Resource Monitoring & Alerts, Budgeting, and RBAC/Security Setup
• Cross-Functional Collaboration: Collaborate effectively with the Account Team to highlight risks and establish and nurture trusted relationships with internal Snowflake teams (e.g., Professional Services, Support) and external partners to ensure seamless resource orchestration
• Develop Scalable Programs: Create and deliver reusable, high-impact programs, such as Hands-on Labs (HoLs) and webinars, to educate a wide customer audience on specific platform features and industry best practices
• Technical Feedback Loop & Innovation: Act as a key feedback loop from the field to influence future product development, working closely with Product Management and Engineering teams
• Expert Support and Triage: Efficiently triage a broad array of incoming customer inquiries, assisting the field team with demos, troubleshooting, and identifying opportunities to qualify potential business value for the Expansion team

Requirements:

• Hands-on experience with SQL is required
• Strong foundational understanding and experience with data architecture, data analytics, and the core concepts of major cloud platforms (AWS, Azure, Google Cloud)
• A strong desire to learn, grow your technical skills, and become an expert in the Snowflake platform
• Excellent written and verbal communication skills with the ability to communicate technical concepts clearly and effectively to diverse audiences
• Ability to handle multiple projects simultaneously and possess Project Management skills to track, manage, and drive customers to an agreed-upon timeline
• University degree in computer science, engineering, mathematics, or related fields, or equivalent practical experience in a technical role
• SnowPro Core certification
• Proficiency in additional coding languages, particularly Python, Java, or Scala, especially in a data or application development context
• Experience with modern data technologies (e.g., CI/CD tooling, orchestration tools) or a basic understanding of Data Science concepts
• Prior experience or strong interest in leveraging AI-powered development tools and coding agents to increase solution delivery efficiency