Account Engineer responsible for accelerating customer adoption and success on Snowflake AI Data Cloud, bridging technical enablement and business growth.
Locations (2)
Seattle, Washington, United States
Menlo Park, California, United States
Compensation
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $184,000 - $241,500. The estimated base salary for this role is $138,000 - $181,125.
Responsibilities
Manage a portfolio of new and early‑stage customers to accelerate time‑to‑value
Serve as primary technical partner during activation engagements
Provide strategic guidance on data strategy and technology stack integration
Deliver technical value using AI‑powered development tools and automation
Architectural leadership including best practices, workload isolation, and security setup
Requirements
University degree in computer science, engineering, mathematics, or related fields, or equivalent practical experience
Lead architecture and modernization initiatives for a high-volume, cloud-hosted real estate platform, providing hands‑on technical leadership and driving AI‑native engineering practices.
Compensation
Annual Pay Range: 134,400 - 165,000 USD
Responsibilities
Lead architecture and modernization initiatives across complex, distributed software systems
Design and evolve scalable, secure, resilient, and high‑performing applications and services
Provide technical leadership for a Java and Spring Boot microservices environment running on Google Cloud Platform
Evaluate service boundaries and architecture patterns to simplify systems, reduce operational overhead, and improve maintainability
Drive cloud‑native engineering improvements, including the evolution of applications toward Kubernetes‑based deployment models
Lead architecture and modernization initiatives for a high-volume consumer-facing real estate platform, providing hands‑on technical leadership and driving cloud‑native engineering improvements.
Compensation
Annual Pay Range: 134,400 - 165,000 USD
Responsibilities
Lead architecture and modernization initiatives across complex, distributed software systems.
Design and evolve scalable, secure, resilient, and high‑performing applications and services.
Provide technical leadership for a Java and Spring Boot microservices environment running on Google Cloud Platform.
Evaluate service boundaries and architecture patterns to simplify systems, reduce operational overhead, and improve maintainability.
Drive cloud‑native engineering improvements, including the evolution of applications toward Kubernetes‑based deployment models.
Design, build, and maintain scalable web applications and backend services in a microservices and event‑driven environment.
Compensation
Annual performance bonus (≈10% of annualized salary).
Responsibilities
Design and implement event‑driven architectures using Kafka or cloud messaging services such as AWS SNS/SQS, EventBridge, or Azure Service Bus.
Design, develop, and maintain end‑to‑end features using React or Angular on the frontend and Node.js, Ruby on Rails, or Python on the backend.
Build, maintain, and optimize microservices and serverless components, ensuring scalability, reliability, and maintainability.
Develop, integrate, and maintain REST and GraphQL APIs.
Design data models and optimize queries in PostgreSQL.
Requirements
Nice to have: Experience with more than one of the backend technologies listed (Node.js, Ruby on Rails, Python).
Nice to have: Experience with both React and Angular.
Nice to have: Production experience with more than one messaging platform (e.g., Kafka and a cloud‑native service).
Nice to have: Experience with event‑driven patterns such as event sourcing or CQRS.
Nice to have: Experience with AI‑native development practices, including agentic coding workflows and AI integrated throughout the development lifecycle.