Amazon Principal Big Data Architect Identity Solutions 

United States, New York, New York 

690287069

As a Principal Data Architect on the Identity Solutions Team, you will play a critical role in bridging the gap between Analytics, Machine Learning, and Generative AI services and identity management. Leveraging your expertise in data architecture, you will lead initiatives to build comprehensive end-to-end use cases and identify opportunities for improvement and innovation within AWS services and third-party integrations.
Key job responsibilities
• Lead the initiative to build end-to-end Analytics/AI/ML/GenAI use cases, mapping out different personas' tasks and requirements.
• Design and implement data architectures that facilitate seamless integration between Analytics and AI/ML/GenAI services and identity management systems.Key job responsibilities
• Lead the initiative to build end-to-end Analytics and AI/ML use cases, mapping out different personas' tasks and requirements.
• Design and implement data architectures that facilitate seamless integration between Analytics and AI/ML services and identity management systems.
• Collaborate with cross-functional teams to ensure alignment with customer needs and objectives.
• Provide guidance and expertise to field teams to enhance the customer experience.
• Identify product gaps, opportunities for improvement, and areas for innovation within AWS services and third-party integrations.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience in data architecture, including designing and implementing complex data solutions.

- In-depth understanding of identity management principles and best practices.
- Experience working with AWS services and integrating third-party vendors.
- Knowledge of data governance, compliance, and monitoring frameworks and tools.