Amazon Senior Specialist Data AI Solution Architect NZ AGS 

New Zealand, Auckland, Auckland 

663637884

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 blogs and workshops for customers, partners, and the AWS Technical Field.
Work/Life Balance
Mentorship & Career Growth
Key job responsibilities
1. Design best in class data and AI solutions for all stages of customer and product lifecycles.3. Thought Leadership - Evangelize and share best practices through forums such as AWS blogs, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.5. Develop and support an AWS internal community of related subject matter experts.A day in the life

- 8+ 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
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Knowledge of data and AI services and solutions (e.g. data lakes, data warehouses, big data, search, streaming, machine learning and GenAI) and their architecture and infrastructure needs

- Technical communication skills; able to bridge the gap between business outcomes and technical requirements
- Familiarity with Data and AI and how it is used for modern data solutions