Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Canadian Specialist Organization (CANSO) Data & AI team as a Specialist Solutions Architect!

At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. The Canadian Specialist Organization (CANSO) works backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. CANSO teams include business development, specialist sales and technical solutions architecture. As part of CANSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

AWS is looking for an Analytics Specialist Solutions Architect who will be the Subject Matter Expert (SME) for helping customers design solutions that leverage our Data & AI services. As part of the Specialist Solutions Architecture team, you will work closely with other Data & AI Specialist Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for analytics and AI/ML platforms.

This role is responsible for supporting customers across 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 and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming workloads. The ideal candidate will have breadth knowledge (L200+) across all six services and depth knowledge (L300+) in at least two of these services, enabling you to architect comprehensive analytics solutions while providing deep technical expertise where customers need it most.

You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Amazon Web Services. You will also create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services analytics solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer's needs.

Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large-scale solutions. You will get the opportunity to work directly with senior data architects at customers, analytics SMEs, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.

Key job responsibilities
Thought Leadership – Evangelize AWS analytics services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.

Partner with SAs, Sales, Business Development, Data and the AI/ML Service teams to accelerate customer adoption and provide guidance on their customer engagements. 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 and reduce time to value. Create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services analytics solutions into customer architectures.

Act as a technical liaison between customers and the AWS analytics services teams to provide customer-driven product improvement feedback. Identify and document customer requirements, technical gaps, and competitive dynamics to inform service team roadmaps and field enablement programs.

Customer Advisor – You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and represent AWS at customer briefings, industry events, and executive engagements.

About the team
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service and unmatched technology. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications:
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- Breadth of knowledge (L200+) across 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 or Amazon MSK for streaming workloads, with depth knowledge (L300+) in at least two of these services
Preferred Qualifications:
- Experience with competitive analytics platforms (e.g., Snowflake, Databricks, Google BigQuery, Azure Synapse)
- Background in AI/ML integration with analytics workloads (e.g., Amazon SageMaker AI, Amazon Bedrock)
- Experience working with Canadian enterprise or ISV customers on cloud transformation or data modernization initiatives

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 - 146,000.00 - 211,600.00 CAD annually