Account Engineer

Snowflake

Account Engineer responsible for driving technical success and customer adoption on Snowflake's AI Data Cloud platform. Collaborating with customers to ensure rapid implementation and value generation.

Posted 7/22/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSenior💰 COP 248,000,000 - COP 310,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, data architecture, and cloud platforms while effectively communicating technical concepts to diverse audiences. Proven ability to manage multiple projects and drive customer success through strategic guidance and innovative solutions.

Highest-signal resume keywords

SQL ProficiencyData Architecture ExpertiseCloud Platform Knowledge (AWS, Azure, Google Cloud)Project Management SkillsSnowPro Core Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ArchitectureData AnalyticsPythonJavaScalaCI/CD ToolingOrchestration ToolsData Science ConceptsAI-Powered Development Tools

Soft Skills

Excellent Communication SkillsAbility to Handle Multiple Projects

Tools & Technologies

Snowflake AI Data CloudArchitectural Best PracticesWorkload IsolationResource MonitoringRBAC/Security Setup

Certifications & Qualifications

SnowPro Core Certification

Industry Keywords

Outcome-Based SellingCustomer EngagementTechnical SuccessUse Case ActivationCustomer Adoption Metrics

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonScalaSQLSwift

About the role

Key responsibilities & impact

The Account Engineer manages a critical portfolio of new and early-stage customers, and is accountable for accelerating their time-to-value and achieving sustained platform growth.
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.
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.
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 efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production.
Provide customers with critical, Snowflake-specific foundational guidance, including Architectural Best Practices, Workload Isolation & Warehouse Utilization, Resource Monitoring & Alerts, Budgeting, and RBAC/Security Setup.
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.
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.
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 for the Expansion team.

Requirements

What you’ll need

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 preferred.
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.

Benefits

Comp & perks

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