Description
At Snowflake, we are powering the era of the agentic enterprise.
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.
Key Responsibilities and Deliverables
- Manage a critical portfolio of new and early-stage customers, and be accountable for accelerating their time-to-value and achieving sustained platform growth.
- Operate as a Full-Stack Technical Resource, blending deep hands-on expertise with the strategic acumen of a business leader.
- Lead your account micro-business, taking ownership of the technical success and consumption trajectory within your assigned portfolio.
- Drive outcome-based utilization, focusing on how the Snowflake AI Data Cloud helps customers solve complex data challenges and unlock maximum business value.
- Serve as a trusted strategic advisor, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases.
- Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance.
- Provide architectural leadership, including Snowflake-specific foundational guidance, such as Architectural Best Practices, Workload Isolation & Warehouse Utilization, and Resource Monitoring & Alerts.
- Collaborate effectively with the Account Team, internal Snowflake teams, and external partners to ensure seamless resource orchestration.
- Develop scalable programs, such as Hands-on Labs and webinars, to educate a wide customer audience on specific platform features and industry best practices.
- Act as a key feedback loop from the field to influence future product development, working closely with Product Management and Engineering teams.
- Efficiently triage a broad array of incoming customer inquiries, assisting the field team with demos, troubleshooting, and identifying opportunities to qualify potential business value.
Required Qualifications
- Hands-on experience with SQL.
- 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.
- Ability to handle multiple projects simultaneously and possess Project Management skills.
- University degree in computer science, engineering, mathematics, or related fields, or equivalent practical experience in a technical role.
What Sets You Apart (Preferred Qualifications)
- SnowPro Core certification.
- Proficiency in additional coding languages, particularly Python, Java, or Scala.
- Experience with modern data technologies or a basic understanding of Data Science concepts.
- Prior experience or strong interest in leveraging AI-powered development tools and coding agents.
Performance Assessment & Career Path
- This role is designed as a direct path to a successful career within the Snowflake Solution Engineering organization.
- Performance is primarily assessed on customer success and platform adoption metrics.
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