Solutions Architect - Amazon QuickSight ID-5110
Job Description
Within the Gen AI/ML Specialist organization, this position is part of the Worldwide Specialist Solution Architecture Team, where you will join a global team for Amazon QuickSight (inclusive of Amazon Q).
You will help guide customers in their adoption of Q and QuickSight through the creation of scalable enablement mechanisms, deep dive technical guides, and 1:1 engagement with customers as they evaluate service capabilities. You partner with technical and field teams across AWS and bring the voice of the customer into our product development roadmap.
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Key job responsibilities
-
Design and develop solutions and prototypes for customers that make the best use of Amazon QuickSight, including Generative BI capabilities of Amazon Q in QuickSight, and educate customers on how to integrate dashboards and Q&A experiences into their custom applications. - Collaborate with AWS field sales, training, and support teams to ensure customer success.
- Create reusable customer content, such as demos, presentations, documentation, blogs, etc that will drive adoption of Amazon QuickSight.
- Act as technical liaison between customers and the service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments.
- Share what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns amongst the worldwide AWS solution architect community in order to build a strong worldwide database, analytics and AI/ML community.
- Evangelize AWS services and solutions that benefit customers and publicly speak at events such as AWS Summits and AWS re:Invent.
Basic Qualifications
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Bachelor's degree
- 2+ years of experience developing dashboards with a Business Intelligence platform such as QuickSight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.
Preferred Qualifications
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Experience with scripting (e.g. Python, PowerShell)
- Experience in technology/software sales, pre-sales, or consulting
- 2+ years experience architecting and implementing Business Intelligence solutions into production
