Customer Engineer, Data Analytics, Google Cloud

As a Customer Engineer (CE) with a specialty in data analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads. You will leverage your expertise in product areas, in partnership with Platform CEs, to design data foundation architectures and develop minimum viable products (MVPs) to promote new, highly specialized solutions to customers. You will solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development. You will have excellent technical, communication and organizational skills.

In this role, you will facilitate making their work more productive, mobile, and collaborative. You will assist fellow sales Googlers by problem-solving key technical issues for our customers. You will liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $194000 - $199000 (CAD) + 42.86% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
• Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.
• Experience using programming languages (e.g., Python, Spark, SQL) to design demos, prototypes, or workshops with customers.

Preferred qualifications:

• Experience in technical sales or consulting in cloud computing, data lifecycle, and Big Data.
• Experience designing or optimizing scalable systems on cloud computing platforms (e.g., Google Cloud, Snowflake, Databricks) and working with data lakes, warehouses, real-time processing, and ETL/ELT (e.g., dbt, Fivetran, Airflow).
• Experience translating business problems into predictive workflows (e.g., forecasting, anomaly detection) for insights.
• Experience writing code in Python, Java, Scala, Go, or R for data pipelines and ML workloads.
• Knowledge of cloud security, IAM, governance, and encryption.
• Ability to communicate in French fluently for regional client engagement.