Amazon

Sr. Specialist Solutions Architect, Database, Canadian Specialists, Data & AI

Toronto, Ontario Ontario, CA
AWS Machine Learning
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Description
- 7+ years design/implementation/consulting experience of distributed applications
- 5+ years management of technical, customer facing resources
- 5+ years of experience with Database
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science /relevant degree and/or experience highly desired.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
**Note role is open to all major locations in Canada where we have an office**

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 a Database Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing 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 Data and AI/ML platforms. 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 Data 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.
You must have deep technical experience working with database technologies, from design and optimization to data migration and integration. A strong background in database development and administration is preferred, in addition to experience in building application and architecture design. You will be familiar with the database offerings on Amazon Web Services and ecosystem of software vendors in the database space, and will leverage this knowledge to help Amazon Web Services customers.

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, Database SMEs, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.

Key job responsibilities
- Thought Leadership – Evangelize AWS Database 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 providing guidance on their customer engagements.
- Act as a technical liaison between customers and the AWS Database services teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of Data related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- Customer Advisor- You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.

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