Account Engineer

Snowflake3 days ago

Location

CO-Colombia-Remote

Workplace

Remote

Type

Full Time

Salary

COP 248,000,000 – 310,000,000

Level

Mid

Role

Sales Engineer

Posted

Jul 22, 2026

Full TimeRemoteMid

The role

Summary

The Account Engineer is a high-impact, cross-functional role at Snowflake designed to drive customer success and platform adoption on the Snowflake AI Data Cloud. You will serve as a dedicated technical partner for new and early-stage customers, combining hands-on cloud data architecture expertise with strategic business acumen to accelerate time-to-value and ensure rapid implementation. This role requires strong SQL proficiency, cloud platform knowledge (AWS, Azure, GCP), and excellent communication skills to bridge customer technical needs with Snowflake's solution capabilities.

What you'll do

Account Portfolio Management and Technical Ownership: Manage a critical portfolio of new and early-stage customers as a full-stack technical resource. Own the technical success trajectory and consumption metrics within assigned accounts, serving as the single point of contact for all customer technical needs and driving adoption outcomes across the Snowflake AI Data Cloud platform.

Strategic Advisory and Data Architecture Guidance: Provide customers with trusted strategic guidance on data strategy, technology stack integration, and platform optimization. Deliver Snowflake-specific foundational expertise including architectural best practices, workload isolation, warehouse utilization, resource monitoring, budgeting, and role-based access control (RBAC) with security setup immediately following contract close.

Accelerated Implementation and AI-Powered Delivery: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance. Apply outcome-based selling mindset to customer engagements, focusing on solving complex data challenges and helping customers achieve rapid time-to-production for initial use cases.

Cross-Functional Collaboration and Relationship Building: Collaborate effectively with Account Team members, Professional Services, Support, and external partners to ensure seamless resource orchestration. Build and nurture trusted relationships internally and externally to identify risks, escalate opportunities, and coordinate comprehensive customer success initiatives.

Technical Content Development and Customer Education: Create and deliver scalable, reusable educational programs including Hands-on Labs (HoLs), webinars, and technical resources to educate customer audiences on Snowflake platform features, industry best practices, and advanced data architecture patterns.

Customer Support Triage and Expansion Qualification: Efficiently triage incoming customer technical inquiries and support requests. Assist field teams with demonstrations, troubleshooting, and technical problem-solving while identifying business value opportunities and qualifying potential expansion use cases for the Sales team.

Product Feedback Loop and Innovation: Act as a critical feedback mechanism from the field to product development teams. Work closely with Product Management and Engineering to influence future Snowflake platform enhancements based on real-world customer requirements and emerging data platform trends.

What we look for

Technical

SQL ProficiencyHands-on, production-level experience with SQL for data querying, manipulation, and optimization. Must be able to write complex queries, debug performance issues, and provide SQL-based solutions to customers.

Cloud Platform ExpertiseStrong foundational understanding and practical experience with major cloud platforms including AWS, Azure, and Google Cloud Platform. Knowledge of cloud architecture, compute resources, storage solutions, and cloud-native data warehousing concepts required.

Data Architecture and Analytics KnowledgeSolid understanding of data architecture patterns, data modeling, ETL/ELT processes, and analytics frameworks. Ability to assess customer data landscapes and recommend appropriate Snowflake configurations and implementation approaches.

Project Management and ExecutionDemonstrated ability to manage multiple technical projects simultaneously, track dependencies, coordinate across teams, and drive customers to agreed-upon implementation timelines with clear milestone tracking.

Technical CommunicationExcellent written and verbal communication skills with the ability to explain complex technical concepts in clear, business-relevant terms to diverse audiences including technical teams, business stakeholders, and C-level executives.

Education

Computer Science or Related DegreeUniversity degree in computer science, engineering, mathematics, or related technical fields. Equivalent practical experience in a technical role or data platform context may be considered as an alternative.

Experience

Technical Platform or Solutions RolePrior experience in a technical solutions, solutions engineering, or technical customer success role. Experience working with customers on cloud data platforms, analytics solutions, or enterprise software implementations is highly valuable.

Customer-Facing Technical DeliveryDemonstrated success working directly with customers on technical implementations, demos, and troubleshooting. Track record of building customer relationships, understanding business requirements, and delivering technical solutions that drive customer success.

Skills

Required skills

SQLProduction-level SQL query writing, optimization, and troubleshooting across relational databases and modern data warehouses

Cloud ArchitectureHands-on experience with AWS, Azure, or Google Cloud Platform infrastructure, services, and architectural patterns

Data Warehousing ConceptsUnderstanding of data warehouse design, star schemas, dimensional modeling, and enterprise analytics architectures

Technical CommunicationAbility to articulate complex technical concepts to both technical and non-technical audiences

Project ManagementAbility to manage multiple simultaneous initiatives, track progress, coordinate stakeholders, and deliver against committed timelines

Nice to have

SnowPro Core CertificationSnowflake-specific professional certification demonstrating comprehensive platform knowledge and best practices

Python ProgrammingProficiency in Python for data processing, scripting, and automation in data engineering and analytics contexts

Java or ScalaExperience with Java or Scala, particularly in data engineering, application development, or distributed computing contexts

CI/CD and Orchestration ToolsFamiliarity with modern data tools including CI/CD pipelines, workflow orchestration platforms (Airflow, dbt), and infrastructure-as-code practices

Data Science FundamentalsBasic understanding of data science concepts, machine learning workflows, and AI-driven analytics use cases

AI-Powered Development ToolsExperience leveraging modern AI-assisted coding tools, intelligent agents, and automation to increase solution delivery efficiency and accelerate development cycles

Compensation & benefits

Salary

COP 248,000,000 – 310,000,000 (annual)

Stock options

Available

Benefits

Career Development and Clear Progression

Direct career path within Snowflake's Solution Engineering organization with opportunities to grow into senior technical leadership roles as the company scales

Impact-Driven Role

Measurable impact on customer success, platform adoption, and consumption growth with performance assessed on clear, quantifiable metrics

Cutting-Edge Technology Access

Work with modern AI-powered development tools, automation platforms, and emerging technologies that accelerate your technical capabilities

Cross-Functional Exposure

Collaborate with Product Management, Engineering, Professional Services, and Sales teams, providing diverse learning opportunities and career visibility

Customer Relationship Building

Develop deep technical relationships with key customers and industry stakeholders, building a professional network across the data and analytics ecosystem

Competitive Compensation

Comprehensive salary and benefits package befitting a mid-level technical role at a fast-growing, publicly-traded cloud technology company

Interview process

1
Application and Resume Review — Initial screening of your background, technical experience, and alignment with the Account Engineer role requirements. Snowflake will assess your SQL and cloud platform proficiency, communications skills, and customer-facing experience.
2
Phone Screening with Recruiter — Preliminary conversation with a Snowflake recruiter to discuss your technical background, motivation for the role, understanding of the Snowflake platform, and career aspirations within the solutions engineering organization.
3
Technical Assessment Interview — Deep-dive technical conversation with a Solutions Engineer or Product Engineer. Expect questions about SQL optimization, cloud architecture, data warehouse design principles, and hands-on problem-solving scenarios relevant to customer implementations.
4
Customer Success and Communication Scenario — Interview with a member of the Account or Solutions Engineering team focused on customer-facing scenarios. You'll discuss how you'd approach customer technical challenges, manage competing priorities, and communicate complex topics to diverse audiences.
5
Senior Leadership Discussion — Conversation with a Solutions Engineering Manager or Director to discuss your long-term career goals, your approach to customer success, how you handle cross-functional collaboration, and your alignment with Snowflake's innovation and customer-centric values.
6
Offer and Compensation Discussion — If selected, you'll receive an offer conversation covering base salary, equity (stock options), benefits package, and signing details. Snowflake will provide comprehensive information about the full compensation structure and career development opportunities.