Job Information
Amazon Senior Solutions Architect in Singapore, Singapore
Description
AWS is one of Amazon’s fastest growing businesses, servicing millions of customers all over the world, reshaping the way global enterprises consume information technology, and powering the developers who are building the next generation of global industry leaders.
AWS is looking for an experienced, technology leader with proven track record in shaping strategic digital transformation for AWS ASEAN's largest Telco and Media Customers This role will be based in Singapore and will cover the ASEAN region.
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.
Key job responsibilities
Build Trusted advisor relationship with Chief Data Officer/Chief AI officer or Equivalent, Enterprise Architects, Business users, BI teams and other data stakeholders; understand the customers data landscape; dive deep and understand business stated, unstated needs, issues;
Working backwards from the customer business and technology needs, build a holistic technology vision and strategy and roadmap for Cloud based Data Analytics and AI Transformation– addressing technology solution, TCO, business impact, data quality, automation, governance and security; Address skills development.
Serve as Technical lead for major customer engagements and orchestrate AWS specialists/service teams, ISV partners in Data/AI eco-system, consulting and delivery partners;
Challenge the technical status quo, inspire customer to a bolder technical vision on Data/AI and increase the velocity transformation; Address short, mid and long-term time horizons; Work with customer, AWS leadership and all key stakeholders to create buy-in and joint ownership of transformation strategy and execution plan;
Develop and deliver customer proposals, presentations, whitepapers, and other content to educate customers, respond to customer RFPs and differentiate AWS/ISV solution.
Stay up-to-date with industry trends and emerging technologies in data and AI architecture
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
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.
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 and 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.
Basic Qualifications
10+ years of experience in Big data Analytics, AI/ML led transformation, with a focus on large Digital Native and Enterprise customers
Track record in engaging C-suite technical leadership
Strong understanding of data architecture principles, including data warehousing, big data, and data governance-
Experience with cloud-based data platforms from hyperscalars (AWS/GCP/Azure) and major data ISVs (e.g. Databricks, Snowflake, Cloudera, etc.)
Excellent communication and presentation skills
Ability to work in a fast-paced environment and prioritize multiple projects simultaneously
Preferred Qualifications
Strong existing CDO relationships
End User Practioner experience in ASEAN based Telcos, Retail, Banks, Digital Natives or equivalent
Knowledge and experience in Data Monetisation, Martech platforms