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AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.US Federal Data & AI Specialist Solutions Architects will collaborate with our customers and partners on key engagements. They will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to migrate Applications from on-premise databases like Oracle/SQL*Server to AWS eg. AWS RDS, Aurora-PostgreSQL/MySQL or other Open Source platforms.This position requires that the candidate selected be a US citizen.Key job responsibilities
About the team
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
Work/Life BalanceMentorship 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.
- 8+ years of solutions architecture or equivalent experience
- 8+ years experience within AI/ML, Databases, Analytics, and/or Storage
- 5+ years of decision-maker engagement
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