Amazon Principal Data AI Solutions Architect AWS Industries Telco 

United States, Colorado, Denver 

705209708

As a trusted customer advocate, you will help organizations understand best practices around advanced data, analytics, and AI solutions on the cloud. You will provide strategic guidance on migrating existing data and analytics workloads to the cloud, as well as implementing new AI and machine learning models. You will build deep relationships with senior technical leaders and data stakeholders to enable them as cloud advocates within their companies. A core responsibility is educating customers on the value proposition of AWS's data, analytics, and AI services through training sessions, deep architectural discussions, and cloud acceleration programs.You will drive revenue growth by formulating and executing sales strategies in partnership with the AWS Sales team, focusing on data, analytics, and AI opportunities. This involves mobilizing internal AWS resources and the partner ecosystem to ensure successful implementation of data platforms, analytics solutions, and AI/ML models on AWS. Additionally, you will capture and share best practice knowledge across AWS, including authoring customer-facing content like whitepapers and blog posts.Key job responsibilities
- Self-motivated with an entrepreneurial spirit to have fun while making history in the data and AI space.- Expertise in designing and architecting large-scale, distributed data platforms, analytics solutions, and AI/ML models.
- Hands-on experience with AWS data, analytics, and AI/ML services or equivalent cloud platforms.- Assist Partners in designing and implementing large-scale data, analytics, and AI solutions.
- Capture and share best-practice knowledge for deploying, running, and managing data, analytics, and AI workloads on AWS.A day in the life
Your creativity will be channeled into developing new architectural patterns, best practices, and technical content focused on data, analytics, and AI on AWS. You will author whitepapers, code samples, blog posts, and more to share your expertise across AWS and the broader data community. You will evangelize AWS's data, analytics, and AI capabilities through workshops, user groups, public speaking engagements, online videos, and conferences.About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years experience in data and analytics technology domain areas, including data engineering, data modeling, data warehousing, and data visualization.
- Proven experience in software development, cloud computing, and systems engineering, with a focus on designing and implementing data and AI solutions.
- Comprehensive knowledge of database design and implementation, including relational and non-relational databases, data lakes, and data warehousing solutions.
- Hands-on experience with data science, machine learning, and artificial intelligence techniques, algorithms, and tools.