Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
7+ years of working directly within data engineering or closely related teams, with hands-on contribution to data platform and pipeline delivery
3+ years of designing or architecting data systems, including data modeling, pipeline patterns, reliability, and scaling strategies
5+ years of experience building or leading development of data pipelines and cloud-native data infrastructure (e.g., data warehouses, data lakes, event-driven architectures, orchestration platforms)
Experience leading teams that use generative AI tools and AI development IDEs to accelerate engineering work
Familiarity with multi-agent solutions that automate workflows (e.g. pipeline generation, data quality, testing, operational response)
Familiarity with at least one agentic AI development IDE (e.g. Kiro, Cursor, Claude Code, Codex)
Experience building or overseeing shared data models, semantic layers, or data contracts
Familiarity with data governance, cataloging, or lineage tracking practices
Experience contributing to or overseeing shared platform infrastructure, developer tooling, or self-service data services
Familiarity with observability tooling for data pipelines and data platform operations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 154,200.00 - 257,600.00 CAD annually
