Principal Solutions Architect - Data

Job Requirements:

• 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.

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 a 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.

Key job responsibilities:

• Build trusted advisor relationships 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, and 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 solutions, 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 the Data/AI ecosystem, consulting, and delivery partners.
• Challenge the technical status quo, inspire customers to a bolder technical vision on Data/AI and increase the velocity of transformation; address short, mid, and long-term time horizons; work with customers, 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 solutions.
• 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 empowers 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.

Preferred Qualifications:

• Strong existing CDO relationships.
• End User Practitioner experience in ASEAN-based Telcos, Retail, Banks, Digital Natives, or equivalent.
• Knowledge and experience in Data Monetisation, Martech platforms.