Account Solution Engineer

The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. You will drive initial utilization, leveraging modern AI-powered tools and coding agents to ensure technical success. This role helps new and early-stage customers achieve rapid implementation, quick value, and a world-class experience on the Snowflake platform, acting as the dedicated customer technical partner for technical enablement and the activation and adoption of customers' initial use cases.

Responsibilities

Take ownership of the technical success and consumption trajectory within an assigned portfolio of new and early-stage customers, driving adoption metrics and acting as a single point of contact for customer needs; Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud solves complex data challenges and unlocks business value; Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and swift activation of Use Cases; Deliver technical value efficiently by leveraging AI-powered development tools and automation to accelerate solutions and implementation guidance; Provide Snowflake-specific foundational guidance, including Architectural Best Practices, Workload Isolation & Warehouse Utilization, Resource Monitoring & Alerts, Budgeting, and RBAC/Security Setup; Collaborate with the Account Team to highlight risks and nurture relationships with internal Snowflake teams and external partners; Create and deliver reusable programs, such as Hands-on Labs (HoLs) and webinars, to educate customers on platform features and best practices; Act as a feedback loop from the field to influence future product development with Product Management and Engineering teams; Triage customer inquiries, assisting the field team with demos, troubleshooting, and identifying opportunities to qualify 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); Strong desire to learn, grow technical skills, and become an expert in the Snowflake platform; Excellent written and verbal communication skills with the ability to communicate technical concepts clearly to diverse audiences; Ability to handle multiple projects simultaneously and 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

Nice to have

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