Amazon Sr Specialist Solutions Architect Database Startups 

United States, California, San Francisco 

899588841

* Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
* Become a trusted advisor within customer accounts through Technical Thought Leadership.
* Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.* Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
* Leverage your deep technical expertise in databases to understand the most important customer problems in the Startup space and enable account aligned teams in the field to solve them.

- 7+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree
- 5+ years of technical experience in database management systems such as relational databases, NoSQL databases, and data warehouse solutions and large-scale database workloads.
- 5+ years management of technical, customer facing resources

- Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
- Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
- Cloud expertise as demonstrated by one or more cloud certifications.
- Demonstrated ability to adapt to new technologies and learn quickly.
- Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- Advanced degree highly preferred such as engineering, computer science, or MIS a plus.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.