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In this technical role, you will architect enterprise-grade Data & Analytics, AI/ML, GenAI solutions, own the technical relationship and deliverables with partners, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries. You will partner with Professional Services, Marketing, Business Development, and AWS Service teams to accelerate partner’s AWS services adoption.Working with partners is a team effort that will require influence and coordination with many stakeholders to collaborate on solutions. These engagements will focus on real time and batch-based big data processing, business intelligence, visualizations, and data analytics with advanced services like AI/ML and GenAI. If you are a problem solver with data & analytics technical skills and have the ability to drive technical initiatives and cloud migration projects with partners, you will enjoy this role.Key job responsibilities
- Scope each partner engagement, with attention towards clear and well-defined objectives and success criteria
- Own each technical enablement and engagement, and help ensure a timely and successful delivery of value (delivery of actual solutions to be done by AWS partners)- Evangelize AWS Data & Analytics services to share best practices through forums such as AWS blogs, whitepapers and reference architectures, as well as public-speaking events such as AWS Summits, AWS re:Invent etc.- Coach and enable partners on an ongoing basis to adopt AWS innovations for Data & Analytics workloads
A day in the life
About the team
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
Causeway Bay, HKG
- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Undergraduate degree in Computer Science, Technology, Engineering, Math or 8+ year’s work experience in technical role in lieu of no Bachelor’s degree.
- Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
- Deep understanding of database and analytics technologies such as Analytics presentation layer including dashboards, reporting, and OLAP.
- Implementation and tuning experience of Data Warehouse / Data Lake platforms, including knowledge of Data Warehouse schema design, query tuning and optimization, and data migration and integration.
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