📍 Job Overview

Job Title: Senior Cloud Support Engineer - SQL
Company: Snowflake
Location: Toronto, Ontario, Canada
Job Type: On-site, Full-time
Category: Technical Support, Data Engineering
Date Posted: June 26, 2025
Experience Level: 5-10 years

🚀 Role Summary

Provide Technical Solutions: Deliver expert guidance and analysis to Snowflake customers using email, web, and phone communication channels.
Drive Customer Satisfaction: Exceed customer expectations by adhering to response and resolution SLAs and escalation processes.
Collaborate and Improve: Work closely with engineering teams to prioritize and resolve customer requests, and contribute to Support initiatives.
Maintain Knowledge Base: Document known solutions and report well-documented bugs and feature requests to the internal and external knowledge base.

📝 Enhancement Note: This role requires a strong customer focus, excellent problem-solving skills, and the ability to work effectively in a collaborative, global team environment.

💻 Primary Responsibilities

Technical Case Management: Handle complex technical cases and incident management, providing in-depth analysis and guidance to customers.
Customer Relationship Building: Develop a strong understanding of customers' use cases and leverage the Snowflake platform effectively and optimally.
Process-Oriented Problem Solving: Demonstrate good problem-solving skills and follow established processes to ensure fast resolution of customer issues.
Tool Utilization: Leverage the Snowflake environment, connectors, third-party partner software, and tools to investigate and resolve issues.
On-Call Support: Provide support coverage during holidays and weekends based on business needs.

📝 Enhancement Note: This role may require working the 1st/morning shift, starting from 6 am IST, and being flexible with schedule changes to meet business needs.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related discipline.

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 with attention to detail.
Strong knowledge of at least one major RDBMS.
In-depth understanding of SQL data types, aggregations, and advanced functions, including analytical/window functions.
Proven experience with query lifecycle, profiles, and execution/explain plans.
Demonstrated ability to analyze and tune query performance and provide detailed recommendations for performance improvement.
Advanced skills in interpreting SQL queries and execution workflow logic.
Proficiency with JSON, XML, and other semi-structured data formats.
Experience with querying and transforming semi-structured data.
In-depth knowledge of data warehousing resource allocation and optimization.
Expertise in identifying scenarios for scaling up and scaling out of cloud resources.
Expertise in managing schedules of jobs and tasks for maximum throughput.
A deep understanding of resource locks and experience with managing concurrent transactions.

Preferred Skills:

Experience working with a distributed database (e.g., big data and/or MPP databases).
Database migration and ETL experience.
Ability to monitor and optimize cloud spending using cost management tools and strategies.
Scripting/coding experience in any programming language.
Understanding of cloud computing security concepts.

📝 Enhancement Note: While not required, experience with a distributed database, database migration, and ETL processes can be beneficial for this role. Additionally, scripting/coding experience and knowledge of cloud security concepts can help in tackling more complex customer issues.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Case Studies: Prepare detailed case studies demonstrating your problem-solving skills and ability to resolve complex technical issues in a customer-facing environment.
SQL Examples: Include examples showcasing your SQL expertise, query optimization, and performance tuning skills.
Data Warehousing Projects: Highlight projects that showcase your understanding of data warehousing resource allocation and optimization.

Technical Documentation:

Process Documentation: Document your approach to handling technical cases, incident management, and resolution processes.
Query Optimization Documentation: Provide examples of query optimization techniques and their impact on performance improvement.
Customer Feedback: Include customer feedback or testimonials highlighting your ability to deliver exceptional service and exceed customer expectations.

📝 Enhancement Note: Tailor your portfolio to demonstrate your ability to work effectively in a collaborative, global team environment and your commitment to maintaining a high level of customer satisfaction.

💵 Compensation & Benefits

Salary Range: CAD 120,000 - CAD 160,000 per year (Based on market research and regional adjustments for Toronto, Ontario)

Benefits:

Comprehensive health, dental, and vision insurance.
Retirement savings plan with company match.
Generous time off, including vacation, sick leave, and holidays.
Employee stock purchase plan.
Professional development opportunities and tuition reimbursement.
Employee referral bonus program.

Working Hours: 40 hours per week, with the possibility of working the 1st/morning shift starting from 6 am IST and being flexible with schedule changes to meet business needs.

📝 Enhancement Note: The salary range provided is an estimate based on market research and regional adjustments for Toronto, Ontario. Actual compensation may vary based on factors such as skills, experience, and qualifications.

🎯 Team & Company Context

Company Culture:

Industry: Cloud-based data warehousing and business intelligence.
Company Size: Medium to large (5,001-50,000 employees).
Founded: 2012 (Headquarters in San Mateo, California, USA).

Team Structure:

The Support team consists of various roles, including Cloud Support Engineers, Technical Support Engineers, and Support Managers.
The team is organized by regions and customer segments, with each member responsible for supporting a specific set of customers.
The team works closely with other departments, such as Engineering, Product Management, and Sales, to ensure customer satisfaction and drive product improvement.

Development Methodology:

Snowflake follows Agile methodologies, with a focus on continuous improvement and customer-centric development.
The team uses project management tools, such as Jira, to track and manage customer issues and improvement initiatives.
Collaboration and knowledge sharing are encouraged through regular team meetings, workshops, and training sessions.

Company Website: Snowflake

📝 Enhancement Note: Snowflake's culture values putting customers first, acting with integrity, owning initiative and accountability, and getting it done. These values are reflected in the company's approach to customer support and technical problem-solving.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Cloud Support Engineer - SQL (Experienced professional with 5-10 years of experience in technical support, data warehousing, and customer-facing roles)

Reporting Structure: Reports directly to the Support Manager or Team Lead, collaborating with other Support Engineers, Engineering teams, and cross-functional stakeholders.

Technical Impact: Provides technical guidance and expertise to Snowflake customers, driving customer satisfaction and product improvement through feedback and collaboration with engineering teams.

Growth Opportunities:

Technical Specialization: Deepen expertise in specific areas, such as data warehousing, big data, or cloud computing, to become a subject matter expert.
Team Leadership: Develop leadership skills and transition into a Support Manager or Team Lead role, responsible for guiding and mentoring other Support Engineers.
Product Management: Leverage technical expertise and customer insights to move into a Product Management role, driving product development and strategy.

📝 Enhancement Note: Growth opportunities at Snowflake are based on individual performance, skills development, and career progression patterns within the Support and Engineering teams.

🌐 Work Environment

Office Type: On-site, with a modern, collaborative workspace designed to facilitate team interaction and knowledge sharing.

Office Location(s): Toronto, Ontario, Canada.

Workspace Context:

Collaboration: Snowflake's Toronto office features open workspaces, meeting rooms, and breakout areas to encourage collaboration and teamwork.
Technology: The workspace is equipped with modern tools, including multiple monitors, testing devices, and high-speed internet connectivity.
Cross-Functional Interaction: The office is home to various teams, providing opportunities for cross-functional collaboration with designers, marketers, and other stakeholders.

Work Schedule: Flexible work schedule, with the possibility of working the 1st/morning shift starting from 6 am IST and being flexible with schedule changes to meet business needs.

📝 Enhancement Note: Snowflake's Toronto office offers a dynamic, collaborative work environment that fosters teamwork, knowledge sharing, and continuous learning.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your application, technical skills, and customer support experience.
Technical Assessment: A hands-on technical assessment focusing on SQL, data warehousing, and problem-solving skills. You may be asked to analyze complex queries, optimize performance, and provide detailed recommendations.
Behavioral Assessment: A structured interview focusing on your problem-solving skills, customer focus, and ability to work effectively in a collaborative team environment.
Final Interview: A conversation with the hiring manager or team lead to discuss your fit for the role, growth opportunities, and next steps.

Portfolio Review Tips:

Case Studies: Prepare detailed case studies demonstrating your problem-solving skills and ability to resolve complex technical issues in a customer-facing environment.
SQL Examples: Include examples showcasing your SQL expertise, query optimization, and performance tuning skills.
Data Warehousing Projects: Highlight projects that showcase your understanding of data warehousing resource allocation and optimization.
Customer Feedback: Include customer feedback or testimonials highlighting your ability to deliver exceptional service and exceed customer expectations.

Technical Challenge Preparation:

SQL Practice: Brush up on your SQL skills, focusing on data types, aggregations, advanced functions, and query optimization techniques.
Problem-Solving Strategies: Review problem-solving strategies and approaches to tackle complex technical challenges efficiently.
Customer Focus: Prepare for customer-focused scenarios, demonstrating your ability to understand customer needs and provide tailored solutions.

ATS Keywords: (Organized by category)

Programming Languages: SQL, PL/SQL, Python, Java, C++
Web Frameworks: N/A (This role is focused on backend and data engineering technologies)
Server Technologies: Snowflake, AWS, Azure, GCP, Linux, Windows
Databases: Snowflake, MySQL, PostgreSQL, Oracle, SQL Server
Tools: Jira, Confluence, Slack, Microsoft Office Suite, Google Workspace
Methodologies: Agile, Scrum, Kanban, ITIL, COBIT
Soft Skills: Communication, problem-solving, collaboration, time management, customer focus
Industry Terms: Data warehousing, big data, cloud computing, ETL, data integration, data migration, data modeling, data governance

📝 Enhancement Note: Familiarize yourself with Snowflake's products, services, and industry-specific terminology to demonstrate your understanding of the company and its offerings during the interview process.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role is focused on backend and data engineering technologies)

Backend & Server Technologies:

Snowflake: Proficient in Snowflake's data warehousing and business intelligence platform, including SQL, data modeling, and performance optimization techniques.
RDBMS: Strong knowledge of at least one major RDBMS, such as MySQL, PostgreSQL, Oracle, or SQL Server.
Cloud Platforms: Familiarity with cloud computing platforms, such as AWS, Azure, or GCP, and their relevant services (e.g., EC2, RDS, Azure SQL Database, or Google BigQuery).
Operating Systems: Proficiency in Linux and Windows operating systems, with a solid understanding of command-line interfaces and scripting.

Development & DevOps Tools:

Version Control: Familiarity with version control systems, such as Git, and GitHub or GitLab for collaboration and code review.
CI/CD Pipelines: Experience with CI/CD tools, such as Jenkins, CircleCI, or GitHub Actions, to automate deployment and testing processes.
Monitoring Tools: Knowledge of monitoring tools, such as Prometheus, Grafana, or Datadog, to track system performance and identify potential issues proactively.

📝 Enhancement Note: Familiarize yourself with Snowflake's products, services, and relevant technologies to demonstrate your understanding of the company's technology stack during the interview process.

👥 Team Culture & Values

Web Development Values:

Customer Focus: Putting customers first and understanding their needs to deliver exceptional service and drive customer satisfaction.
Integrity: Acting with honesty and transparency in all interactions with customers, colleagues, and stakeholders.
Ownership: Taking initiative and accountability for driving results and delivering on commitments.
Collaboration: Working effectively in a collaborative, global team environment to share knowledge, support colleagues, and achieve common goals.
Continuous Learning: Pursuing personal and professional development opportunities to stay current with industry trends and best practices.

Collaboration Style:

Cross-Functional Integration: Working closely with designers, marketers, and other stakeholders to ensure customer needs are met and product offerings are optimized.
Code Review Culture: Participating in code reviews and pair programming to maintain high-quality standards and share knowledge with colleagues.
Knowledge Sharing: Actively contributing to internal and external knowledge bases, documentation, and training materials to support the growth and development of colleagues and the broader technical community.

📝 Enhancement Note: Snowflake's culture values putting customers first, acting with integrity, owning initiative and accountability, and getting it done. These values are reflected in the company's approach to customer support, technical problem-solving, and collaboration.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Query Optimization: Developing advanced SQL skills and query optimization techniques to improve performance and scalability in data warehousing environments.
Cloud Resource Management: Identifying opportunities for scaling up and scaling out cloud resources to optimize cost and performance.
Data Integration: Designing and implementing efficient data integration processes, including ETL, to ensure data accuracy, consistency, and timeliness.
Data Governance: Ensuring data quality, security, and compliance with relevant regulations and industry standards.

Learning & Development Opportunities:

Technical Specialization: Deepening expertise in specific areas, such as data warehousing, big data, or cloud computing, to become a subject matter expert.
Leadership Development: Developing leadership skills and transitioning into a Support Manager or Team Lead role, responsible for guiding and mentoring other Support Engineers.
Product Management: Leveraging technical expertise and customer insights to move into a Product Management role, driving product development and strategy.

📝 Enhancement Note: Growth opportunities at Snowflake are based on individual performance, skills development, and career progression patterns within the Support and Engineering teams. Seeking out learning and development opportunities can help you advance in your career and take on new challenges.

💡 Interview Preparation

Technical Questions:

SQL Fundamentals: Brush up on your SQL skills, focusing on data types, aggregations, advanced functions, and query optimization techniques.
Data Warehousing: Review data warehousing concepts, resource allocation, and optimization strategies to demonstrate your understanding of the Snowflake platform.
Problem-Solving Strategies: Review problem-solving strategies and approaches to tackle complex technical challenges efficiently.
Customer Focus: Prepare for customer-focused scenarios, demonstrating your ability to understand customer needs and provide tailored solutions.

Company & Culture Questions:

Snowflake Products: Familiarize yourself with Snowflake's products, services, and industry-specific terminology to demonstrate your understanding of the company and its offerings.
Agile Methodologies: Brush up on your understanding of Agile methodologies, including Scrum, Kanban, and ITIL, to showcase your ability to work effectively in a collaborative team environment.
Customer Satisfaction: Prepare for questions focusing on customer satisfaction, service quality, and the ability to exceed customer expectations.

Portfolio Presentation Strategy:

Case Studies: Prepare detailed case studies demonstrating your problem-solving skills and ability to resolve complex technical issues in a customer-facing environment.
SQL Examples: Include examples showcasing your SQL expertise, query optimization, and performance tuning skills.
Data Warehousing Projects: Highlight projects that showcase your understanding of data warehaging resource allocation and optimization.
Customer Feedback: Include customer feedback or testimonials highlighting your ability to deliver exceptional service and exceed customer expectations.

📝 Enhancement Note: Prepare for the interview process by researching Snowflake's products, services, and industry-specific terminology. Familiarize yourself with the company's culture, values, and approach to customer support to demonstrate your fit for the role and growth potential within the organization.

📌 Application Steps

To apply for this Senior Cloud Support Engineer - SQL position at Snowflake:

Customize Your Portfolio: Tailor your portfolio to demonstrate your ability to work effectively in a collaborative, global team environment and your commitment to maintaining a high level of customer satisfaction.
Optimize Your Resume: Highlight your project experience, technical skills, and customer support expertise, focusing on relevant keywords and industry-specific terminology.
Prepare for Technical Challenges: Brush up on your SQL skills, data warehousing concepts, and problem-solving strategies to tackle complex technical challenges efficiently.
Research the Company: Familiarize yourself with Snowflake's products, services, and industry-specific terminology to demonstrate your understanding of the company and its offerings during the interview process.

⚠️ 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.

Senior Cloud Support Engineer - SQL