# Account Engineer

**Company**: Snowflake
**Location**: Menlo Park, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $138,000 - $181,125
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/720f9903-f7bf-49a8-a0f2-c8906aba8262?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7cfdaf4f-519

## 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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## Skills

### Required
- SQL
- data architecture
- data analytics
- cloud platforms

### Nice to have
- Python
- Java
- Scala
- Data Science concepts
- AI-powered development tools

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/720f9903-f7bf-49a8-a0f2-c8906aba8262?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)