Sr. Analytics Specialist Solution Architect – Amazon – Toronto, ON

Amazon Web Services (AWS) is on the hunt for a sharp, technically minded Sr. Analytics Specialist Solution Architect to join the Canadian Specialists Organization (CANSO) Data & AI team in Toronto, Ontario. If you have deep expertise in cloud analytics platforms, a passion for solving complex data problems, and the communication skills to engage everyone from developers to C-suite executives, this role is worth your attention.

This is not a back-office technical role — it sits at the intersection of customer engagement, solution architecture, and product influence. You’ll be shaping how Canadian enterprise customers adopt and scale AWS analytics and AI/ML services, building reference architectures, leading technical discoveries, and feeding real customer insights back to AWS engineering and product teams.

About the Role: Sr. Analytics Specialist Solution Architect

As the Subject Matter Expert (SME) for AWS Data & AI services in the Canadian market, you’ll serve as the go-to technical advisor for customers working with six core AWS analytics services: Amazon Redshift, AWS Glue and AWS Glue Data Catalog, Amazon EMR, Amazon SageMaker Unified Studio and AWS Lakehouse architecture patterns, Amazon OpenSearch Service, and Amazon Kinesis / Amazon MSK for streaming workloads. The expectation is breadth knowledge (L200+) across all six, with depth knowledge (L300+) in at least two.

You’ll collaborate closely with Specialist Sales teams, Business Development, and other Solutions Architects across geographies to drive large-scale customer use cases. You’ll also produce white papers, blogs, reference implementations, and field enablement materials that help the broader SA community integrate AWS analytics into customer architectures. Feedback loops matter here — you’ll gather customer insights and translate them into actionable product requirements for AWS engineering teams.

Benefits and Salary

The base salary range for this position in Toronto is $146,000 to $211,600 CAD annually. As part of Amazon’s total compensation approach, the package may also include sign-on payments and Restricted Stock Units (RSUs), with final compensation based on experience, qualifications, and location. Amazon offers a comprehensive benefits package including health insurance (medical, dental, vision, prescription, basic life & AD&D), a Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and additional resources to support health and well-being. The company also emphasizes work-life balance, mentorship, career growth, and ongoing knowledge-sharing opportunities.

Responsibilities

This role spans the full customer engagement lifecycle — from early-stage technical discovery to post-sales enablement. You’ll be expected to lead with technical depth, but also think strategically about how AWS analytics solutions fit within enterprise and ISV customer environments across Canada. Here’s what the day-to-day looks like:

• Evangelize AWS analytics services and share best practices through blogs, white papers, reference architectures, and public-speaking events such as AWS Summit and AWS re:Invent
• Lead technical discovery and architecture reviews for analytics workloads, engaging directly with enterprise and ISV customers on migrations, modernization, and optimization initiatives
• Develop reference architectures and solution patterns for data lake, data warehouse, and real-time analytics use cases
• Support pre-sales cycles through demos, proofs of concept, and technical proposals in partnership with specialist sellers and account solution architects
• Enable customers and field teams through workshops, enablement sessions, and repeatable solution kits that accelerate adoption
• Create field enablement materials for the broader SA population to help them integrate AWS analytics solutions into customer architectures
• Act as a technical liaison between customers and AWS analytics service teams to provide customer-driven product improvement feedback
• Identify and document customer requirements, technical gaps, and competitive dynamics to inform service team roadmaps
• Build prototypes and PoCs and represent AWS at customer briefings, industry events, and executive engagements

Requirements / Skills

AWS is looking for someone who brings both technical credibility and business savvy to customer conversations. The ideal candidate is comfortable at the whiteboard designing complex analytics architectures and equally confident presenting to executive stakeholders. Here’s what they’re looking for:

• Communication skills across technical and non-technical audiences, including executive-level stakeholders and clients
• 5+ years of experience in design, implementation, or consulting in applications and infrastructures
• Breadth knowledge (L200+) across Amazon Redshift, AWS Glue, Amazon EMR, Amazon SageMaker Unified Studio, Amazon OpenSearch Service, and Amazon Kinesis / Amazon MSK
• Depth knowledge (L300+) in at least two of the six core analytics services
• Experience with competitive analytics platforms such as Snowflake, Databricks, Google BigQuery, or Azure Synapse (preferred)
• AI/ML integration background with analytics workloads, including Amazon SageMaker AI or Amazon Bedrock (preferred)
• Experience working with Canadian enterprise or ISV customers on cloud transformation or data modernization initiatives (preferred)

How to Apply

To apply, use the link below to visit the official Amazon job posting. Make sure your resume is up to date and tailored to highlight your experience with cloud analytics platforms and large-scale data architectures before submitting.

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