Sr Specialist SA Data Analytics, AGS-ASEAN Specialist Team

AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

AWS ASEAN Specialist Team in Singapore seeks a Senior Data & Analytics Specialist SA to lead data platform deployments for enterprise customers, pairing deep engineering expertise with strategic engagement and executive relationships.

You’ll shape modern architectures, mentor colleagues, and develop repeatable accelerators that scale analytics across the region, while representing AWS at industry events and collaborating with field sales to accelerate data adoption.

Qualifications

• 10+ years in data engineering/analytics architecture with customer-facing roles.
• Deep knowledge of data lakes, data warehouses, lakehouse patterns, and ETL/ELT frameworks.
• Experience leading complex technical engagements with enterprise customers in data and analytics.
• Experience building and sustaining executive-level technical relationships (CDO/CTO/VP level).

Responsibilities

• Lead technical strategy on complex enterprise data platform pursuits from discovery to architecture and proof-of-concept.
• Build and own senior executive relationships to position AWS as the platform of choice for data workloads.
• Represent AWS at industry conferences and customer forums with deep-dives and talks on data strategy.
• Develop accelerators and reference architectures to speed data migrations and analytics adoption.
• Mentor SAs and uplift the team on data and analytics engagements.

Skills

Executive communication

Team leadership

Data engineering

Analytics architecture

Customer-facing solutions

Executive relationship building

Job description

The ASEAN Specialist team at AWS is hiring a Senior Data & Analytics Specialist Solutions Architect to serve as a technical leader and trusted advisor to our enterprise customers. You'll bring deep expertise in data engineering, analytics, and modern data platforms, partnering with field sales teams on complex customer deals, owning senior executive relationships, representing AWS at marquee industry events, and building the mechanisms that accelerate data and analytics adoption across field teams, partners, and customers. If you thrive in high-stakes customer engagements, enjoy mentoring others, and want to shape how AWS wins the data platform decision in one of the fastest-growing cloud markets in the world, we'd love to hear from you.
Sales, Marketing and Global Services (SMGS) This is a role within Sales, Marketing and Global Services (SMGS). 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.

Key job responsibilities

As a Senior Data & Analytics Specialist SA in the ASEAN Specialist Team, you combine deep technical expertise in data platforms with strategic engagement skills to drive outcomes on our most complex customer opportunities. In this role you will be:

• Partnering with field sales teams to lead technical strategy on complex data and analytics deals - from early discovery through architecture design, proof of concept, and commitment.
• Building and owning senior executive relationships (CDOs, CTOs, VPs of Data & Engineering) to position AWS as the platform of choice for enterprise data workloads.
• Representing AWS as a thought leader at large industry conferences, customer summits, and executive forums - delivering keynotes, technical deep-dives, and panel discussions on data strategy, lakehouse architectures, and analytics modernization.
• Developing accelerators, reference architectures, and enablement content in the data and analytics domain that help field sales teams, partners, and customers adopt AWS data services faster and with confidence.
• Mentoring and uplifting specialist and generalist SAs - raising the technical bar on data and analytics engagements and building a culture of knowledge sharing.
• Navigating competitive dynamics with incumbent data platforms and articulating AWS's differentiated value for enterprise data workloads.
• Identifying patterns across customer data engagements and codifying them into repeatable plays that scale impact across the region.

A day in the life

What does a day in the life of a Senior Data & Analytics Specialist SA look like? You will:

• Lead technical strategy on a complex enterprise data platform pursuits - mapping the customer's data landscape, understanding their analytics goals, navigating competitive alternatives, and designing a modern data architecture on AWS.
• Engage with a customer's Data leadership to influence their data modernization roadmap, articulate the value of AWS analytics services, and agree on a proof-of-concept approach.
• Deliver a technical deep-dive at a regional data conference to large audiences of data engineers and analytics leaders.
• Develop a reusable data accelerator that helps field teams and partners execute data platform migrations with repeatable patterns and reduced time-to-value.
• Run skills-building workshops for the SA team on data engineering best practices, sharing lessons from recent customer wins.
• Collaborate with AWS data service teams to provide field feedback and influence roadmap priorities based on customer needs in the region.
• Mentor a junior SAs helping them sharpen their architecture design and competitive positioning.

About the team

The ASEAN Specialist Team is a group of domain experts who bring deep technical expertise across their respective technology areas. As a Specialist SA, you operate across the full customer engagement lifecycle, from early-stage strategic advisory to production-ready design, serving as a trusted advisor to customers and a key contributor to ASEAN's technology strategy. You'll work alongside specialists in data, analytics, AI/ML, and application modernization, in a team that values builder culture, intellectual curiosity, and customer obsession.

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

• Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
• Experience managing teams, or experience leading engineering teams as a mentor or tech lead
• 10+ years of experience in data engineering, analytics architecture, or data platform consulting, with at least 3 years in a customer-facing solutions architecture or technical pre-sales role.
• Deep understanding of modern data platforms including data lakes, data warehouses, streaming architectures, lakehouse patterns, and ETL/ELT frameworks.
• Demonstrated experience leading complex technical engagements with enterprise customers in the data and analytics domain.
• Experience building and sustaining executive-level technical relationships (CDO, CTO, VP of Data/Engineering level).
• Knowledge of architecting data and analytics solutions on AWS or other cloud platforms.

Preferred qualifications

• Experience driving competitive platform migrations from incumbent data platforms to AWS.
• Track record of developing reusable technical assets (reference architectures, migration accelerators, workshops) that scaled impact beyond individual engagements.
• Understanding of AI/ML technologies, including how generative AI complements data and analytics workloads.
• Experience in ASEAN markets with understanding of regional business dynamics, regulatory landscapes, and data sovereignty requirements.
• Experience working with field sales teams in a matrixed environment to drive deal progression and technical wins.
• Demonstrated thought leadership through published content, conference talks, or community contributions in the data and analytics space.
• Experience enabling customers/partners on AWS data architecture best practices and co-delivery models.