Sr Specialist SA Data Analytics, AGS-ASEAN Specialist Team

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. Youll 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 wed 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 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 AWSs 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 customers data landscape understanding their analytics goals navigating competitive alternatives and designing a modern data architecture on AWS.

- Engage with a customers 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 ASEANs technology strategy. Youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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- 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.

- 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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