Top Customer Solutions Developer, Data Analytics – Google – Waterloo, ON
Google Cloud’s Waterloo team is looking for a Top Customer Solutions Developer specializing in Data Analytics to join a global, high-impact support organization. This is a senior technical role where you’ll work directly with Google Cloud’s most critical enterprise customers, solving complex challenges and helping shape the future of cloud-based data infrastructure.
This isn’t a typical support role — it blends deep technical troubleshooting, customer advocacy, and product improvement into one position. You’ll be embedded in customer environments, debugging real-world deployments, building tools, and working alongside product and engineering teams to make Google Cloud better for everyone.
About the Role: Top Customer Solutions Developer
As a member of the High Touch Support Solutions team, you’ll own the most complex and consequential customer issues on Google Cloud Platform (GCP). Your day-to-day will involve technical escalation management, root cause analysis, architecture consultations, and hands-on debugging across distributed systems. You’ll act as both a technical problem-solver and a trusted advisor to enterprise customers navigating large-scale cloud deployments.
Collaboration is central to this role. You’ll work across sales, product, developer, and customer success teams, bridging the gap between customer needs and product capabilities. Because this role supports a global 24-hour support model, some flexibility with non-standard hours or occasional weekend shifts will be required.
Benefits and Salary
The Canada base salary range for this full-time position is CAD $170,000–$174,000, plus bonus, equity, and a comprehensive benefits package. Individual pay is determined by work location, job-related skills, experience, and relevant education or training. Google’s total compensation package is designed to be competitive at every level. To learn more about benefits at Google, visit their official careers page.
Job Details
📌 Job Type: Full-Time
🏢 Company: Google
📍 Location: Waterloo, ON, Canada
⏱️ Level: Mid
💰 Pay: CAD $170,000–$174,000 base salary + bonus + equity + benefits
Responsibilities
In this role, you’ll be at the front lines of enterprise customer support for Google Cloud, owning complex technical issues from identification through to resolution. The work spans everything from hands-on debugging and root cause analysis to cross-functional advocacy that drives product improvements at scale.
- Manage technical escalations including platform outages, production deployment issues, and executive-level concerns for critical customers
- Troubleshoot and reproduce customer-reported issues through debugging, networking, and system administration to determine root causes
- Build tools and diagnostics to deepen the team’s understanding of Google Cloud product architectures and accelerate resolution
- Consult with internal stakeholders across developer, sales, and customer organizations to resolve technical deployment obstacles
- Advocate for customer needs with Product and Developer teams to influence roadmap decisions and product improvements
- Update and improve documentation including technical content, playbooks, and knowledge base articles to reduce recurring issues
- Support global 24-hour coverage as part of a distributed team, including occasional non-standard hours and weekend shifts
Requirements / Skills
Google is looking for a technically deep professional with a strong background in distributed systems, data analytics, and customer-facing technical support or software development. The ideal candidate combines hands-on engineering skills with the communication abilities needed to influence both technical and business stakeholders.
- Bachelor’s degree in Science, Technology, Engineering, or equivalent practical experience
- 6+ years of experience troubleshooting customer issues, triaging technical problems, or software development
- Coding proficiency in one or more of Java, C, C++, Python, or Go — including reading, writing, and debugging
- Distributed systems experience including design patterns, solutions architecture, and best practices
- Technical content creation experience such as developer documentation, white papers, or IT administration playbooks
- Web technologies knowledge including HTTP, HTML, DNS, and TCP
- Preferred: Experience with Google Cloud Platform or other public cloud services, data analytics/ETL development, Apache Hadoop ecosystem, or columnar/analytic databases
- Preferred: Experience in crisis response or escalation management across multiple teams
How to Apply
To apply, visit the official Google Careers posting using the link below. Make sure your resume is up to date and tailored to highlight your distributed systems and data analytics experience before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Top Customer Solutions Developer role at Google Cloud in Waterloo is ideal for candidates who excel in distributed systems troubleshooting, data analytics, and technical customer advocacy. On your resume, emphasize any hands-on experience with cloud infrastructure, debugging complex production environments, and cross-functional collaboration. If you’ve previously worked in cloud support, data engineering, or software development, make sure to highlight specific achievements such as incident resolutions, tools you built, or improvements you drove.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like Google Cloud Platform, distributed systems, and ETL / data analytics that appear throughout the posting. Quantify your achievements where possible (e.g., “reduced average time-to-resolution by 30%” or “supported 20+ enterprise accounts with complex multi-region deployments”). Write a brief cover letter expressing your genuine interest in Google Cloud and why you’re drawn to this high-touch customer solutions role in Waterloo. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Google Cloud‘s product portfolio, recent platform announcements, and core values around customer success. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your troubleshooting expertise, escalation management, and cross-team collaboration. Common questions may include scenarios about handling critical production outages, advocating for customer needs with engineering teams, or debugging distributed system failures. Dress appropriately for a technology environment, arrive 10–15 minutes early (or log in early for virtual interviews), and bring copies of your resume. Prepare thoughtful questions about the team structure, on-call expectations, and growth paths within Google Cloud. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.