About the role
AI summarisedSenior Specialist Solutions Architect role on the AWS WWSO Startup team, focused on helping startups adopt AWS data solutions. The role involves technical thought leadership, go-to-market strategy, and building relationships with C-level executives and developers.
BusinessFull-timeSolutions Architect
Key Responsibilities
- 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.
- Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
- 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.
Requirements
- 7+ years of data engineering experience
- 5+ years customer-facing experience
- 5+ years of experience designing and building comprehensive data strategies, including architecting data lakes, implementing data engineering best practices, and advising customers on modern data platform approaches
- Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity (preferred)
- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers (preferred)
- Cloud expertise as demonstrated by one or more cloud certifications (preferred)
- Demonstrated ability to adapt to new technologies and learn quickly (preferred)
- Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches (preferred)
- Advanced degree highly preferred such as engineering, computer science, or MIS a plus (preferred)