Staff Cloud Support Engineer - Data Platform at Snowflake

📍 Job Overview

Job Title: Staff Cloud Support Engineer - Data Platform
Company: Snowflake
Location: Remote, United States
Job Type: Full-Time
Category: Technical Support Engineer
Date Posted: 2025-08-10
Experience Level: 10+ years
Remote Status: Remote OK

🚀 Role Summary

Key Responsibilities: Provide high-quality technical support to Snowflake customers, driving solutions to complex problems, and ensuring customer success.
Key Skills: Technical Support, Data Warehousing, Amazon AWS, Database Technologies, Big Data, Networking, SQL, Python, Java, Scala, API Programming, ETL, Debugging, Troubleshooting, Communication, Collaboration.

📝 Enhancement Note: This role requires a strong technical background in data warehousing, database technologies, and big data, with a focus on providing exceptional customer support.

💻 Primary Responsibilities

Technical Support: Drive technical solutions to complex problems, providing in-depth analysis and guidance to customers using email, web, and phone.
Customer Success: Adhere to response and resolution SLAs, ensuring fast resolution of customer issues that exceed expectations.
Investigation & Documentation: Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues, and document known solutions to the internal and external knowledge base.
Bug Reporting & Product Feedback: Report well-documented bugs and feature requests arising from customer submitted requests, and work with Engineering toward a resolution. Provide product feedback and improvements.
Process Improvement: Proactively identify recommendations and lead global initiatives to improve product quality and customer experience.
On-Call & Holidays: Provide support coverage during holidays and weekends based on business needs.

📝 Enhancement Note: This role requires a proactive approach to problem-solving, excellent communication skills, and the ability to work collaboratively across global teams.

🎓 Skills & Qualifications

Education: Bachelor’s or Master’s degree in Computer Science or equivalent discipline.

Experience: 8+ years experience in a Technical Support environment or a similar technical function in a customer-facing role.

Required Skills:

Excellent writing and communication skills in English with attention to detail.
Ability to work in a highly collaborative environment across global teams.
Ability to train team members on data warehousing fundamentals and concepts.
Experience in configuring/troubleshooting drivers such as ODBC, JDBC, Python Connector, NodeJS, Go, .Net, etc.
Strong understanding of Amazon AWS Services such as S3, SQS, SNS, Lambda Functions, API Gateway, VPC, Route 53, and/or similar services in Microsoft Azure and Google Cloud Ecosystems.
Experience in Spark and Kafka concepts.
Experience in using third-party troubleshooting tools such as Wireshark, Fiddler, Process Monitor/Explorer, Linux performance tools, etc.
Debugging/development experience in one or more of Python, Java, and Scala and knowledge of code maintenance on any of the Git repositories.
Experience in API Programming, e.g., REST API, Python API, SQL API, etc.
Familiarity with at least one of the following: ETL/ELT, reporting tools such as AWS Glue, EMR, Azure Data Factory, Informatica, Matillion, Tableau, Fivetran, HVR etc.
Experience in capturing and analyzing the tcpdumps, heap dump, and stack traces.
Familiarity with database related concepts and writing SQL queries.
Experience troubleshooting database connectivity issues/code.
Excellent ability to troubleshoot on a variety of operating systems (Windows, Mac, *Nix).
Good understanding of the technical fundamentals of the Internet. You should have knowledge of internet protocols such as TCP/IP, HTTP/S, DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues.
Experience with Data Loading of File Formats such as CSV, Parquet, JSON etc.
Ability to reproduce and troubleshoot complex technical issues.

Preferred Skills:

Experience working with big data and/or MPP (massively parallel processing) databases.
Understanding of Data Warehousing fundamentals and concepts.
Database migration and ETL experience.
Scripting/coding experience in any of the following: .Net, Javascript, R, GO.
Experience with Libraries/Frameworks such as Pandas, SciPy, TensorFlow etc.
Experience supporting applications running on either Amazon AWS or MS Azure.
Experience with virtualization and Container solutions (VMware, Docker, Virtualbox, Kubernetes, etc).
Understanding of cloud computing Network and Security concepts.
Experience with CI/CD platforms and tools such as Terraform, Azure Devops, Jenkins etc.

📝 Enhancement Note: While not required, having experience with big data, MPP databases, and cloud computing concepts would be beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your ability to troubleshoot complex technical issues and provide solutions.
Showcase your experience with data warehousing fundamentals and concepts.
Highlight your proficiency in using various drivers, AWS services, and troubleshooting tools.
Display your understanding of database connectivity issues and SQL queries.

Technical Documentation:

Provide examples of well-documented solutions and bug reports.
Showcase your ability to analyze and optimize performance metrics.
Demonstrate your understanding of data loading and file formats.

📝 Enhancement Note: Ensure your portfolio highlights your technical expertise and problem-solving skills, with a focus on data warehousing and cloud computing concepts.

💵 Compensation & Benefits

Salary Range: The estimated base salary range for this role is $109,000 - $166,100 per year. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

Benefits:

Medical, Dental, Vision, Life, and Disability Insurance.
401(k) Retirement Plan.
Flexible Spending Account and Health Savings Account.
At least 12 paid holidays.
Paid Time Off and Parental Leave.
Employee Assistance Program.
Other company benefits.

Working Hours: Full-time, with the possibility of working during holidays and weekends based on business needs.

📝 Enhancement Note: The salary range and benefits package are competitive and reflect the high level of responsibility and expertise required for this role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Snowflake is a cloud-based data warehousing company, providing a data platform that enables organizations to store, share, and analyze data.

Company Size: Snowflake is a large, rapidly growing company with a global presence, employing over 3,000 people.

Founded: Snowflake was founded in 2012 and is headquartered in San Mateo, California.

Team Structure:

The Support team is a global team, working collaboratively to provide exceptional customer support.
The role of Staff Cloud Support Engineer may involve working with Priority Support customers, developing a strong understanding of their use case, and driving their success.

Development Methodology:

Snowflake uses Agile methodologies, with a focus on continuous improvement and customer success.
The Support team works closely with Engineering, Product, and other teams to drive product improvements and enhancements.

Company Website: Snowflake Careers

📝 Enhancement Note: Snowflake’s culture is focused on customer success, collaboration, and continuous learning, with a strong emphasis on technical excellence.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a deep understanding of data warehousing, database technologies, and cloud computing concepts, with a focus on providing exceptional customer support.

Reporting Structure: The Staff Cloud Support Engineer role reports directly to the Manager, Cloud Support, and may work with Priority Support customers, developing a strong understanding of their use case and driving their success.

Technical Impact: This role has a significant impact on customer success, driving technical solutions to complex problems, and ensuring customer satisfaction. The role also involves providing product feedback and improvements, contributing to Snowflake’s overall product development and enhancement process.

Growth Opportunities:

Technical Growth: Deepen your expertise in data warehousing, database technologies, and cloud computing concepts, with a focus on providing exceptional customer support.
Leadership Development: Develop your leadership skills, working with Priority Support customers and driving their success.
Product & Process Improvement: Contribute to Snowflake’s product development and enhancement process, driving improvements in product quality and customer experience.

📝 Enhancement Note: This role offers significant opportunities for technical growth, leadership development, and contributing to Snowflake’s overall product development and enhancement process.

🌐 Work Environment

Office Type: Snowflake has offices worldwide, with a strong focus on remote work and collaboration.

Office Location(s): Snowflake has offices in San Mateo, California (Headquarters), and other locations worldwide. The Staff Cloud Support Engineer role is remote, with the possibility of working from any of Snowflake’s global offices.

Workspace Context:

Collaboration: Snowflake’s global team works collaboratively, using various communication and collaboration tools to ensure seamless communication and customer success.
Workstation: Snowflake provides remote employees with the necessary equipment and tools to perform their job effectively.
Flexibility: Snowflake offers flexible work arrangements, with a focus on work-life balance and employee well-being.

Work Schedule: Full-time, with the possibility of working during holidays and weekends based on business needs.

📝 Enhancement Note: Snowflake’s remote work environment offers flexibility, collaboration, and a strong focus on work-life balance and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Brush up on your technical skills, focusing on data warehousing, database technologies, and cloud computing concepts. Familiarize yourself with Snowflake’s products and services.
Coding Challenges: Prepare for coding challenges that focus on troubleshooting, debugging, and problem-solving skills. Familiarize yourself with Snowflake’s coding standards and best practices.
System Design & Architecture: Prepare for system design and architecture discussions, focusing on Snowflake’s products and services. Familiarize yourself with Snowflake’s architecture and design principles.
Final Evaluation: Prepare for a final evaluation, focusing on your technical expertise, problem-solving skills, and customer support experience.

Portfolio Review Tips:

Technical Depth: Demonstrate your technical expertise in data warehousing, database technologies, and cloud computing concepts.
Customer Focus: Highlight your ability to provide exceptional customer support, driving technical solutions to complex problems, and ensuring customer satisfaction.
Problem-Solving: Showcase your problem-solving skills, with a focus on troubleshooting, debugging, and optimizing performance.

Technical Challenge Preparation:

Technical Fundamentals: Brush up on your technical fundamentals, focusing on data warehousing, database technologies, and cloud computing concepts.
Problem-Solving Strategies: Develop effective problem-solving strategies, focusing on troubleshooting, debugging, and optimizing performance.
Communication & Collaboration: Prepare for technical interviews, focusing on your communication and collaboration skills, and your ability to work effectively with customers and team members.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: Prepare thoroughly for the technical interview process, focusing on your technical expertise, problem-solving skills, and customer support experience. Familiarize yourself with Snowflake’s products, services, and company culture.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A

Backend & Server Technologies:

Database Technologies: Snowflake Data Warehouse, Amazon Redshift, Google BigQuery, Azure Synapse Analytics
Cloud Platforms: Amazon AWS, Microsoft Azure, Google Cloud Platform
Server Technologies: Linux, Windows, MacOS

Development & DevOps Tools:

Collaboration Tools: Jira, Confluence, Slack, Microsoft Teams
Version Control: Git, GitHub
CI/CD Pipelines: Jenkins, CircleCI, GitHub Actions
Monitoring Tools: Prometheus, Grafana, Datadog, New Relic

📝 Enhancement Note: Familiarize yourself with Snowflake’s technology stack, focusing on data warehousing, database technologies, and cloud computing concepts.

👥 Team Culture & Values

Web Development Values:

Customer Success: Snowflake’s top priority is customer success, driving technical solutions to complex problems and ensuring customer satisfaction.
Technical Excellence: Snowflake values technical excellence, with a strong focus on continuous learning and improvement.
Collaboration: Snowflake values collaboration, working together to drive customer success and technical excellence.
Innovation: Snowflake values innovation, driving product improvements and enhancements that meet the evolving needs of its customers.

Collaboration Style:

Cross-Functional Integration: Snowflake’s teams work collaboratively, with a strong focus on customer success and technical excellence.
Code Review Culture: Snowflake values code review, with a strong focus on quality, performance, and security.
Knowledge Sharing: Snowflake encourages knowledge sharing, with a strong focus on continuous learning and improvement.

📝 Enhancement Note: Snowflake’s culture is focused on customer success, technical excellence, collaboration, and innovation, with a strong emphasis on continuous learning and improvement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Warehousing: Deepen your understanding of data warehousing fundamentals, concepts, and best practices.
Database Technologies: Expand your knowledge of database technologies, with a focus on Snowflake’s products and services.
Cloud Computing: Develop your expertise in cloud computing concepts, with a focus on Amazon AWS, Microsoft Azure, and Google Cloud Platform.
Troubleshooting & Debugging: Enhance your troubleshooting and debugging skills, with a focus on complex technical issues and performance optimization.

Learning & Development Opportunities:

Technical Skills: Deepen your technical expertise in data warehousing, database technologies, and cloud computing concepts.
Leadership Development: Develop your leadership skills, working with Priority Support customers and driving their success.
Product & Process Improvement: Contribute to Snowflake’s product development and enhancement process, driving improvements in product quality and customer experience.
Community Involvement: Participate in Snowflake’s community events, webinars, and conferences, expanding your network and learning opportunities.

📝 Enhancement Note: This role offers significant opportunities for technical growth, leadership development, and contributing to Snowflake’s overall product development and enhancement process.

💡 Interview Preparation

Technical Questions:

Technical Fundamentals: Brush up on your technical fundamentals, focusing on data warehousing, database technologies, and cloud computing concepts.
Problem-Solving Strategies: Develop effective problem-solving strategies, focusing on troubleshooting, debugging, and optimizing performance.
System Design & Architecture: Prepare for system design and architecture discussions, focusing on Snowflake’s products and services. Familiarize yourself with Snowflake’s architecture and design principles.

Company & Culture Questions:

Company Culture: Familiarize yourself with Snowflake’s company culture, focusing on customer success, technical excellence, collaboration, and innovation.
Product & Services: Prepare for questions about Snowflake’s products and services, focusing on their features, benefits, and use cases.
Customer Success: Prepare for questions about customer success, focusing on driving technical solutions to complex problems and ensuring customer satisfaction.

Portfolio Presentation Strategy:

Technical Depth: Demonstrate your technical expertise in data warehousing, database technologies, and cloud computing concepts.
Customer Focus: Highlight your ability to provide exceptional customer support, driving technical solutions to complex problems, and ensuring customer satisfaction.
Problem-Solving: Showcase your problem-solving skills, with a focus on troubleshooting, debugging, and optimizing performance.

📝 Enhancement Note: Prepare thoroughly for the technical interview process, focusing on your technical expertise, problem-solving skills, and customer support experience. Familiarize yourself with Snowflake’s products, services, and company culture.

📌 Application Steps

To apply for this Staff Cloud Support Engineer - Data Platform position at Snowflake:

Customize Your Portfolio: Highlight your technical expertise in data warehousing, database technologies, and cloud computing concepts. Showcase your problem-solving skills, with a focus on troubleshooting, debugging, and optimizing performance.
Optimize Your Resume: Emphasize your technical skills, experience, and achievements in data warehousing, database technologies, and cloud computing concepts. Include relevant keywords to optimize your resume for Applicant Tracking Systems (ATS).
Prepare for Technical Interviews: Brush up on your technical fundamentals, focusing on data warehousing, database technologies, and cloud computing concepts. Develop effective problem-solving strategies, focusing on troubleshooting, debugging, and optimizing performance. Familiarize yourself with Snowflake’s products, services, and company culture.
Research Snowflake: Learn about Snowflake’s products, services, and company culture. Prepare for questions about customer success, technical excellence, collaboration, and innovation.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Staff Cloud Support Engineer - Data Platform