Job Information
Amazon Partner Solutions Architect in Causeway Bay, Hong Kong
Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Would you like to be part of a team that is redefining the IT industry? Amazon Web Services is leading the next paradigm shift in computing and is looking for world class Solution Architect candidates for the role of Partner Solutions Architect.
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.
The ideal candidate will possess partner facing skills that will allow them to represent Amazon well within a partner environment and drive discussions with senior personnel within the company, as well as a technical background of Agile methodologies with the ability to apply these practices to Data & Analytics projects that enables them to easily interact and give guidance to technical stakeholders. You should also have a demonstrated ability to think strategically about business, product, and technical challenges.
Key job responsibilities
Serve as a key technical member of the Solutions Architecture team in helping to enable partners and ensure partner success in building partner practice, capabilities, and solutions on the AWS platform
Design customer solutions with partners using AWS Data Analytics services
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)
Capture and share best-practice knowledge amongst the solution architect community
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.
Understand the AWS market segments, customer base, and industry verticals
Coach and enable partners on an ongoing basis to adopt AWS innovations for Data & Analytics workloads
Assist partners in pursuits and enable them to win the business independently
A day in the life
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.
#AWSGCR
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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
We are open to hiring candidates to work out of one of the following locations:
Causeway Bay, HKG
Basic Qualifications
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.
Preferred Qualifications
Experience migrating or transforming legacy customer solutions to the cloud
Experience with AWS technologies
Ability to communicate fluently in Cantonese, Mandarin and English, in technical and business settings (verbal and written)
Experience working within partner and consulting organizations
Experience with any programming or scripting language
AWS Certification, e.g. AWS Solutions Architect Professional and/or other Data Analytics and ML specialty certifications is preferred
Experience in Artificial Intelligence and Machine Learning (AI/ML)