AI Data Developer - Google, Toronto

Role overview

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. If you are looking for technology jobs Toronto offers, this role lets you work with Google's global network, web-scale data centers, and software infrastructure.

As a Data Developer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges while collaborating with Google's strategic cloud customers.

Key duties

• Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges.
• Communicate effectively for client meetings and onsite delivery activities.
• Travel up to 30% of the time.
• Lead the end-to-end delivery of enterprise-scale data platforms, enabling real-time ingestion and high-performance consumption for AI/ML and Agentic use cases.
• Own the operational lifecycle of data products—including governance, security, cost-efficiency, and SLA management—in collaboration with stakeholders to drive long-term technical strategy.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
• Analyze on-premises and cloud data platform environments and consult on the optimal design for performance and deployment on Google Cloud Platform.

Requirements

Candidates must meet the following minimum qualifications to be considered for these Google careers:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Developers and Sales Services teams.
• Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.

The following preferred qualifications will help your application stand out for these Google jobs:

• Google Cloud Platform (GCP) Professional Data Certification(s).
• Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g. ADK), tool and function calling, RAG, and prompt/context development.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Experience building machine learning solutions and working with technical customers.