Data Architect salary in Thailand

Average Yearly Salary of Data Architect in Thailand is approximately 702,492 THB (17,685 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Architect do?

A data architect is responsible for designing and managing an organization's data infrastructure. They analyze the data requirements of the organization, develop data models, and create strategies for data storage, integration, and retrieval. Data architects collaborate with stakeholders to understand their needs and translate them into technical specifications. They also ensure that data is organized effectively and securely, and develop data governance policies and procedures. Data architects work closely with database administrators, software developers, and data analysts to implement and optimize data solutions. They stay updated with emerging technologies and industry trends to recommend and implement new tools and techniques for data management. Strong analytical and problem-solving skills are crucial for data architects, as they need to identify and resolve data-related issues.

Skills: Data architect, Data modeling, Data infrastructure, Data governance, Data management, Data analysis
Job industry: Data analysis

How much does Data Architect make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Data Architect a well paid job?

Yes, our data show that Data Architect is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Architect?

High salary for Data Architect would be somewhere between 772,741 THB and 1,018,613 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Architect in Thailand?

Living in Thailand the approximate monthly expenses are: 289 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 702,492 THB
Estimated Monthly Salary: 58,541 THB
Estimated Weekly Salary: 13,509 THB per week
Estimated Hourly Salary: 338 THB per hour
By working as Data Architect a person can save up to 1,185 USD per month or 14,215 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Thailand, see costs of living in Thailand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Myanmar, Laos, Cambodia, Malaysia.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Architect

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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