Amazon Web Services, an Amazon.com Company, has been the world’s leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. Millions of customers in over 240 countries - from the fastest growing start-ups to the largest enterprises, through to leading government agencies - all place their trust in Amazon Web Services to power their infrastructure, and deliver innovation.
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.
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.
Are you an expert in modern data and analytic technology, such as distributed database, data warehouse, big data, stream computing, or analytic and data science? Do you have machine learning, data scientist or data architect experience? Have you ever helped customer to develop data driven initiatives, such as growth hacking, process mining, user behavior analysis, digital marketing, AIOPS or services-oriented data frameworks? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of intelligent cloud technologies?
At Amazon Web Services (AWS), we're hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our architects will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These experts' engagements will focus on customer solutions through analytic technology. This role will specifically focus on helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. This expert would help customer to put more data on AWS for more intelligence, to drive business more reliable and more accurate, to innovate with more profits and to build Eco-systems for future development.
You'll work closely with AWS Field Teams including Solution Architects, Lab experts, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with intelligence. Every day, you'll be working with Customers to determine the optimal implementation, build it, prove it works, and technical assets to enable the customer’s intelligence journey. If you are builder, and love data/analytics, then this could be your ideal job!
We are looking for someone who is passionate about:
• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics area, especially in data warehouse and data lake technologies.
• Solutions - Deliver one to many sessions to enable the internal/external teams, support key analytic engagement in GCR, develop reusable technical solutions/contents from AWS services, and harvest valuable assets as landing zones, and cooperate with global team to drive more customer obsession services on AWS.
• Entablements - Engagements include short on-site projects proving the use of AWS services to support analytic solutions that often span across different services. Engagements may include migration of existing applications and development of new applications using AWS cloud services.
• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
Key job responsibilities
This role is one of the Solutions Architecture organization at AWS. This role provides a unique opportunity to lead innovations and transformational change with large Enterprise customers in their journey to cloud. The essential requirement includes experience of analytics area, especially in data warehouse and data lake technologies. Familiar with services and products related to data analysis, for example: Redshift, EMR, ElasticSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.Experience with Data and AI projects and tool usage will be given priority.
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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team.- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
- Experience in deploying and maintaining big data projects.- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Experience with AI/ML projects
- Experience in customer-facing roles.
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.
