📍 Job Overview

• Job Title: Senior Cloud Support Engineer - Data Integration & ETL
• Company: Snowflake
• Location: Dublin, Ireland
• Job Type: Full-Time
• Category: DevOps, Support
• Date Posted: June 23, 2025
• Experience Level: Mid-Senior (5-10 years)
• Remote Status: On-site (with potential for remote work based on business needs)

🚀 Role Summary

• Key Responsibilities:
  • Drive technical solutions to complex problems, providing in-depth analysis and guidance to Snowflake customers and partners.
  • Adhere to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues.
  • Demonstrate good problem-solving skills and be process-oriented.
  • Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues.
  • Document known solutions to the internal and external knowledge base.
  • Report well-documented bugs and feature requests arising from customer-submitted requests.
  • Partner with engineering teams in prioritizing and resolving customer requests.
  • Participate in a variety of Support initiatives.
  • Provide support coverage during holidays and weekends based on business needs.

💻 Primary Responsibilities

• Key Responsibilities:
  • Customer Support: Serve as the primary point of contact for customers, addressing their technical inquiries and troubleshooting issues.
  • Technical Troubleshooting: Diagnose and resolve complex technical issues related to Snowflake's data integration and ETL processes.
  • Documentation: Maintain and update internal and external knowledge bases with solutions to common issues.
  • Collaboration: Work closely with cross-functional teams, including engineering and product management, to address customer feedback and improve Snowflake's offerings.
  • On-Call Duty: Provide support coverage during off-hours and weekends as needed to ensure high-quality customer service.

🎓 Skills & Qualifications

Education: Bachelor’s or Master’s degree in Computer Science or a related field.

Experience: 5+ years of experience in a Technical Support environment or a similar technical function in a customer-facing role.

Required Skills:

• Excellent written and verbal communication skills in English.
• Basic familiarity with one major cloud service provider's ecosystem.
• Understanding of basic Python and Java code.
• Basic understanding of Windows and Linux Operating Systems.
• Basic understanding of Data Warehousing fundamentals and concepts.
• Ability to write and understand basic SQL queries.
• Knowledge of fundamental AWS services or similar services on Microsoft Azure or Google Cloud.
• Basic understanding of data warehousing and ETL/ELT concepts.
• Knowledge of TCP/IP and HTTP/S protocols.
• Basic connectivity troubleshooting skills.
• Experience in troubleshooting on Windows, Mac, or Unix-like systems.

Preferred Skills:

• Basic driver configuration skills for ODBC, JDBC, etc.
• Familiarity with third-party troubleshooting tools such as Wireshark and Fiddler.
• Understanding of cloud computing security concepts.
• Understanding of RESTful APIs and web services.
• Understanding of load balancer concepts (F5, nginx, etc).
• Familiarity with Cloud service security concepts (Security Groups or NSG).
• Experience with software development principles, including object-oriented programming and version control systems (e.g., Git, GitHub, GitLab).
• Working experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with AWS Lambda and related AWS services (e.g., S3, DynamoDB, API Gateway, SNS).
• Understanding of event-driven architectures and microservices.
• Experience with API frameworks and tools like Swagger/OpenAPI, Postman, and API Gateway.
• Able to identify packages from import statements.
• Able to read library API documentation and use them effectively.
• Experience with ML tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.

📊 Web Portfolio & Project Requirements

• Portfolio Essentials:

  • Demonstrate a strong understanding of data integration and ETL processes through relevant projects or case studies.
  • Showcase problem-solving skills and technical expertise in troubleshooting complex issues.
  • Highlight experience working with cloud service providers and understanding of their ecosystems.
  • Display proficiency in SQL, Python, and Java through code samples or projects.

• Technical Documentation:

  • Provide examples of well-documented solutions to technical issues, demonstrating clear and concise writing skills.
  • Showcase experience with knowledge base management and contributing to internal documentation.

💵 Compensation & Benefits

Salary Range: €70,000 - €90,000 per year (based on market research for Senior Support Engineer roles in Dublin, Ireland)

Benefits:

• Competitive health, dental, and vision insurance plans.
• Retirement savings plans with company match.
• Employee stock purchase plan.
• Generous time off, including vacation, sick leave, and company holidays.
• Professional development opportunities and tuition reimbursement.
• Employee referral bonuses.
• Fitness reimbursement and wellness programs.
• Employee discounts on various products and services.

Working Hours: Full-time position with standard working hours Monday through Friday, 9:00 AM to 5:30 PM local time. Occasional on-call duty may be required.

🎯 Team & Company Context

Company Culture:

• Industry: Cloud Computing, Data Warehousing, and Business Intelligence.
• Company Size: Large (over 5,000 employees).
• Founded: 2012.
• Team Structure:
  • The Support team is organized into regional and functional groups, with each group responsible for a specific set of customers or product areas.
  • The team consists of Support Engineers, Team Leads, and Managers, with a flat hierarchy and emphasis on collaboration and knowledge sharing.
• Development Methodology:
  • Snowflake follows Agile methodologies, with a focus on continuous improvement and customer feedback.
  • The company uses JIRA for project management and Confluence for collaboration and knowledge sharing.

Company Website: Snowflake Careers

📈 Career & Growth Analysis

Web Technology Career Level: Senior Cloud Support Engineer - Data Integration & ETL

Reporting Structure: Reports directly to the Support Team Lead or Manager, with a dotted line to the relevant Product or Engineering team for specific customer requests.

Technical Impact: As a Senior Cloud Support Engineer, you will have a significant impact on Snowflake's customers by ensuring their data integration and ETL processes run smoothly and efficiently. You will also contribute to the improvement of Snowflake's products and services by providing valuable customer feedback and insights.

Growth Opportunities:

• Technical Growth: Develop expertise in Snowflake's data integration and ETL processes, as well as related technologies and tools.
• Leadership Growth: Gain experience in mentoring junior team members and contributing to process improvements within the Support organization.
• Product Growth: Collaborate with Product and Engineering teams to influence the development of new features and enhancements based on customer feedback.

🌐 Work Environment

Office Type: Modern, collaborative office space with open work areas, meeting rooms, and breakout spaces.

Office Location(s): Snowflake's Dublin office is located in the heart of the city, with easy access to public transportation.

Workspace Context:

• Collaboration: Snowflake fosters a collaborative work environment, with regular team meetings and knowledge-sharing sessions.
• Tools & Equipment: Snowflake provides modern workstations, multiple monitors, and access to the necessary software and tools for the role.
• Team Interaction: The Support team works closely with other departments, including Sales, Marketing, and Product Management, to ensure customer success.

Work Schedule: Standard working hours Monday through Friday, 9:00 AM to 5:30 PM local time, with occasional on-call duty required.

📄 Application & Technical Interview Process

Interview Process:

1. Phone Screen: A brief phone call to discuss your experience and fit for the role.
2. Technical Assessment: A hands-on assessment to evaluate your technical skills and problem-solving abilities, focusing on data integration, ETL processes, and troubleshooting.
3. Behavioral Interview: A conversation to understand your approach to customer support, problem-solving, and teamwork.
4. Final Interview: A meeting with the hiring manager or team lead to discuss your fit for the role and answer any remaining questions.

Portfolio Review Tips:

• Highlight relevant projects that demonstrate your experience with data integration, ETL processes, and troubleshooting.
• Include case studies that showcase your ability to resolve complex technical issues and provide exceptional customer service.
• Emphasize your understanding of Snowflake's products and services, as well as your familiarity with the company's customers and their use cases.

Technical Challenge Preparation:

• Brush up on your SQL, Python, and Java skills, focusing on data manipulation, querying, and troubleshooting.
• Familiarize yourself with Snowflake's products and services, as well as common data integration and ETL processes.
• Prepare for troubleshooting scenarios, focusing on network connectivity, data integrity, and performance optimization.

ATS Keywords: See the comprehensive list of relevant keywords provided in the AI-generated job description.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

• Snowflake: Snowflake's cloud-based data warehousing platform, with a focus on data integration and ETL processes.
• AWS: Amazon Web Services, including S3, DynamoDB, API Gateway, and Lambda.
• Python & Java: Programming languages used for scripting, automation, and custom integrations.
• SQL: Structured Query Language, used for querying and manipulating data in Snowflake's data warehouse.

Development & DevOps Tools:

• JIRA: Project management and issue tracking tool used for tracking customer requests and internal tasks.
• Confluence: Collaboration and knowledge-sharing platform used for maintaining internal documentation and best practices.
• Git: Version control system used for managing changes to the codebase and collaborating with other developers.

👥 Team Culture & Values

Web Development Values:

• Customer Focus: Prioritize customer needs and ensure their satisfaction with Snowflake's products and services.
• Technical Excellence: Strive for continuous learning and improvement in data integration, ETL processes, and troubleshooting skills.
• Collaboration: Work effectively with cross-functional teams to resolve customer issues and drive product improvements.
• Innovation: Embrace new technologies and approaches to enhance Snowflake's data integration and ETL capabilities.

Collaboration Style:

• Cross-Functional Integration: Work closely with Sales, Marketing, and Product teams to address customer needs and drive product adoption.
• Code Review Culture: Collaborate with other Support Engineers to review and improve technical solutions and best practices.
• Knowledge Sharing: Contribute to internal documentation and training materials to help onboard new team members and maintain a shared understanding of Snowflake's products and services.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Data Integration: Troubleshoot complex data integration issues, ensuring data accuracy, completeness, and timeliness.
• ETL Processes: Optimize and enhance ETL processes to improve performance, scalability, and reliability.
• Customer Expectations: Manage customer expectations and communicate effectively with customers facing service disruptions or delays.
• Emerging Technologies: Stay up-to-date with new data integration and ETL tools and techniques, and adapt Snowflake's offerings to meet evolving customer needs.

Learning & Development Opportunities:

• Technical Skills: Develop expertise in data integration, ETL processes, and related technologies through hands-on experience and targeted training.
• Leadership Skills: Gain experience in mentoring junior team members and contributing to process improvements within the Support organization.
• Product Knowledge: Deepen your understanding of Snowflake's products and services through customer interactions and collaboration with internal teams.

💡 Interview Preparation

Technical Questions:

• Snowflake Fundamentals: Demonstrate a strong understanding of Snowflake's data warehousing platform, data integration, and ETL processes.
• Troubleshooting Scenarios: Walk through real-life troubleshooting scenarios, focusing on data integrity, network connectivity, and performance optimization.
• Customer Communication: Explain how you would communicate complex technical solutions to non-technical customers, ensuring their understanding and satisfaction.

Company & Culture Questions:

• Snowflake's Mission: Explain how your role as a Senior Cloud Support Engineer contributes to Snowflake's mission to enable the world to unleash the power of data.
• Customer Success: Describe your approach to ensuring customer success, focusing on proactive issue resolution, customer communication, and driving product adoption.
• Team Dynamics: Explain how you would foster a collaborative and inclusive team environment, emphasizing knowledge sharing, continuous learning, and customer focus.

Portfolio Presentation Strategy:

• Customer Case Studies: Present real-life examples of how you have resolved complex data integration and ETL issues for customers, highlighting your problem-solving skills and technical expertise.
• Technical Deep Dive: Provide a detailed walkthrough of a specific data integration or ETL project, focusing on your approach to architecture, design, and optimization.
• Customer Testimonials: Include customer testimonials or references that highlight your exceptional customer service and technical proficiency.

📌 Application Steps

To apply for this Senior Cloud Support Engineer - Data Integration & ETL position at Snowflake:

1. Customize Your Resume: Tailor your resume to highlight your relevant experience with data integration, ETL processes, and troubleshooting, as well as your familiarity with Snowflake's products and services.
2. Prepare Your Portfolio: Curate a portfolio that showcases your technical expertise and problem-solving skills, focusing on data integration and ETL projects.
3. Research Snowflake: Familiarize yourself with Snowflake's products, services, and company culture, emphasizing their commitment to customer success and technical excellence.
4. Prepare for Technical Assessment: Brush up on your SQL, Python, and Java skills, focusing on data manipulation, querying, and troubleshooting. Familiarize yourself with Snowflake's products and services, as well as common data integration and ETL processes.
5. Apply: Submit your application through the Snowflake Careers website, following the instructions provided in the job posting.

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