Senior Data Sales Specialist, Data and Database Team

Amazon is hiring a Senior Data Sales Specialist, Data and Database Team in Bangkok, Thailand. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this sales role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Databricks, AWS and sales.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Drive enterprise sales for data, database, and analytics platforms that form the foundation for AI workloads on AWS.

DatabricksAWS

salesenterprise-softwaredatabasedata-architecturecloud-computing

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results.

The data layers of analytics, storage, governance, are the foundation for AI. Enterprises across ASEAN are at an inflection point: modernizing legacy data estates, adopting new data architectures, and establishing the data foundations required to run AI in production. As a Senior Data Sales Specialist in our ASEAN Sales organisation, you will own the conversation data stack across databases, analytics, storage, and governance and connect it to AI. You will be the primary field expert helping ASEAN's customers design and adopt modern data platforms on AWS, while driving revenue across the integrated data portfolio.

You'll operate at CXO level (CIO, CDO, CTO) and well as the builders within our customers, leading with a point of view, and help customers see the architecture that solves their business problem.

Key job responsibilities
Sales Specialists are the ultimate owner of the revenue and success goals of the Country that they are assigned to. Sales Specialists are empowered as GMs to 1/pursue, create and develop opportunities across the data stack 2/proactively grow usage and revenue for their specific service group within a defined country by executing known working sales plays.

Sell the platform. Position AWS as an integrated data foundation connecting operational databases, open lakehouse analytics, governance, and into the AI layer.

Navigate competitive dynamics with third-party data platforms. Bring clarity to account teams on when to compete vs. collaborate.

Educate account teams on data messaging and competitive positioning. Partner with BD/GTM specialists and Solutions Architects to accelerate data opportunities within strategic customer segments and key accounts.

Meet or exceed annual revenue targets by building and managing pipeline. Maintain a robust, - Develop strategic customer relationships. Build trust-based relationships with senior technology and business leaders across ASEAN's most important accounts.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

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 conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.

Basic qualifications

- 10+ years of enterprise commercial sales experience
- Experience identifying, developing, negotiating, and closing large-scale technology deals
- 3+ years of direct field sales experience across two or more of: databases, analytics, storage, data governance, or data platform solutions.
- Technical fluency - able to whiteboard a modern data architecture, engage credibly with engineering teams, and translate business priorities into solution designs.
- Strong English communication skills (written and verbal) with the ability to engage CXO-level stakeholders.
- Experience selling into ASEAN markets or comparable multi-country territories.

Preferred qualifications

- Bachelor's degree in Engineering, Computer Science, or a related technical field
- Experience selling data platforms, cloud databases, analytics, or data lake solutions.
- Familiarity with competitive landscape: Databricks, Snowflake, Microsoft Fabric, Google BigQuery.
- Experience driving adoption of open-source data technologies (e.g., Apache Iceberg, Apache Spark, PostgreSQL).
- Track record selling to C-level executives in ASEAN enterprise organizations, particularly CIO, CDO, and CTO.
- Experience working cross-functionally with Solutions Architecture, Professional Services, and Partner teams to land complex deals.
- Comfort operating in ambiguity - this role requires you to build the playbook, not just run it.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Data Sales Specialist, Data and Database Team at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Sales Specialist, Data and Database Team is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in TH, 10, Bangkok.
The job was posted on September 16, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SalesEnterprise SoftwareDatabaseData ArchitectureCloud ComputingDatabricksAWS

Also common in sales jobs at this level

AI agents Generative AI Azure Google Cloud Machine learning SQL

Pay

Typical sales job: $140k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

Tell me about a project where sales was part of your work. What did you do?
Tell me about a project where enterprise software was part of your work. What did you do?
Tell me about a project where database was part of your work. What did you do?
Tell me about a project where data architecture was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Sales, Enterprise Software, Database, Data Architecture, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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