Canada: $170000 - $174000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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.
Minimum qualifications
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.
Preferred qualifications
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.
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.
