Database Specialist SA
Amazon is hiring a Database Specialist SA in Beijing, China. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AWS, Rds and Aurora.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Database Specialist Solutions Architect designing cloud database solutions and driving AWS adoption across enterprise customers.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
[AWS China Introduction] Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two IoT labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon’s first two utility-scale renewable projects—a solar farm and a wind farm—are also generating clean energy to the country’s grid.
As a Database Specialist SA, you will design complete solution architectures based on AWS database services (RDS, Aurora, ElastiCache, DynamoDB, etc.). You will collaborate with customers and partners on key engagements — including customer discovery, whiteboard solutioning, presenting, technical deep dives, and other technical sales support activities.
Key job responsibilities
1. Provide customers with deep technical expertise and strategic guidance on AWS Database Services. Collaborate with AWS specialist sales, marketing, and product teams to develop innovative solutions for customers' most challenging business problems
2. Serve as a trusted technical advisor to customers' executives, helping them navigate cloud transformation. Lead architectural reviews and workshops focused on common use cases and industry best practices
3. Design and architect complex database solutions using relational and non-relational technologies. Develop and deliver PoC projects, technical workshops, and support migrations from on-premise databases to AWS database services
4. Champion industry best practices through blogs, white papers, and reference architectures. Present at AWS Summits, and other industry events
5. Provide feedback to AWS product teams on customer requirements; act as primary contact for urgent customer issues. Stay current with emerging trends in Database and Generative AI technologies
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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic qualifications
- 2+ years of Information Technology (IT) experience
- Bachelor's degree
Preferred qualifications
- Experience implementing a cloud-based technology solution
- Experience with two or more of the following: networking fundamentals, security, storage or databases (relational or NoSQL), operating systems (Unix, Linux, or Windows)
- Experience working in a customer-facing role
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Database Specialist SA at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where solution architecture was part of your work. What did you do?
- Tell me about a project where database management was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where pre sales was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Solution Architecture, Database Management, Cloud Computing, Pre Sales, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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