Senior Specialist Solutions Architect - Amazon QuickSight
Job ID: 2817595 | AWS EMEA SARL (UK Branch)
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. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!
About AWS
Diverse Experiences
AWS 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.
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Key job responsibilities
1. 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.
2. Collaborate with AWS field sales, training, and support teams to ensure customer success.
3. Create reusable customer content, such as demos, presentations, documentation, blogs, etc that will drive adoption of Amazon QuickSight.
4. 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.
5. 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.
6. Evangelize AWS services and solutions that benefit customers and publicly speak at events such as AWS Summits and AWS re:Invent.
A day in the life
Your daily schedule will be a mix of solving customers' challenges and creating scalable assets to further promote the knowledge and understanding of Amazon QuickSight and Amazon Q in QuickSight. You will collaborate with field teams to drive successful customer outcomes, as well as collaborate with service teams to incorporate customers' feedback into the roadmap. You will work closely with Go-To-Market (GTM) Specialist counterparts to develop a strategy to drive customer adoption further in your territory through 1:1 customer engagement and 1:many virtual and in-person events.
About the team
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. The team covers Amazon QuickSight and Amazon Q in QuickSight (Q being a GenAI feature set in QuickSight) and align with Amazon Q Business GTM and SA teams to build joint GTM strategies focused on helping business users to be more proficient with data. This is a fun, dynamic team covering a rapidly evolving space of applying GenAI technologies to business users in an enterprise.
BASIC QUALIFICATIONS
1. Experience in design, implementation, or consulting in applications and infrastructures.
2. Experience within the data and analytics domain (e.g., SQL, data engineering, or similar), with a focus on business intelligence.
3. Experience developing dashboards with a Business Intelligence platform such as QuickSight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.
PREFERRED QUALIFICATIONS
1. Bachelor's degree in computer science, engineering, mathematics or equivalent.
2. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
3. Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering).
4. Experience with a programming language such as Python, Ruby, JavaScript, C#, C++, or similar.
5. Experience in architecting and implementing Business Intelligence solutions into production.
6. Experience in technology/software sales, pre-sales, or consulting.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Posted: November 1, 2024 (Updated 2 days ago)
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