Data Warehouse Administrator salary in Lithuania

Average Yearly Salary of Data Warehouse Administrator in Lithuania is approximately 34,057 EUR (33,890 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 Warehouse Administrator do?

A data warehouse administrator is responsible for managing and maintaining the data warehouse infrastructure within an organization. They are in charge of designing, implementing, and monitoring the data warehouse system to ensure its reliability, performance, and security. This role involves working closely with database administrators, data analysts, and other stakeholders to understand their data requirements and optimize the data warehouse accordingly. A data warehouse administrator performs tasks such as data extraction, transformation, and loading (ETL), data modeling, database tuning, backup and recovery, user access management, and troubleshooting any issues that may arise.

Skills: Data Warehouse Administrator, Database Management, ETL, Data Modeling, Performance Tuning, Data Security
Job industry: Information technology

How much does Data Warehouse Administrator make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Data Warehouse Administrator a well paid job?

Yes, our data shows that Data Warehouse Administrator is a 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 Warehouse Administrator?

High salary for Data Warehouse Administrator would be somewhere between 37,463 EUR and 49,383 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Warehouse Administrator in Lithuania?

Living in Lithuania the approximate monthly expenses are: 948 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: 34,057 EUR
Estimated Monthly Salary: 2,838 EUR
Estimated Weekly Salary: 655 EUR per week
Estimated Hourly Salary: 16 EUR per hour
By working as Data Warehouse Administrator a person can save up to 1,877 USD per month or 22,519 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 Lithuania, see costs of living in Lithuania.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Belarus, Latvia, Poland, Russia..
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 Warehouse Administrator

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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