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.
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Basic Qualifications
- 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).
- Strong presentation and public speaking skills, with a track record of representing a technology vendor at industry conferences or large customer events.
- Experience mentoring or coaching technical teams.
- Knowledge of architecting data and analytics solutions on AWS or other cloud platforms.
- 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).
- Strong presentation and public speaking skills, with a track record of representing a technology vendor at industry conferences or large customer events.
- Experience mentoring or coaching technical teams.
- 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.
- Industry/Cloud certifications including AWS certifications (e.g., Data Analytics Specialty, Solutions Architect Professional).
- 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.
- 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.
- Industry/Cloud certifications including AWS certifications (e.g., Data Analytics Specialty, Solutions Architect Professional).
- 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.
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