Architect Data
2 070 077 ₽ (RUB)/yr
995,23 ₽ (RUB)/hr
76 386 ₽ (RUB)/yr
The average architect data gross salary in Nizhny Novgorod, Russian Federation is 2 070 077 ₽ or an equivalent hourly rate of 995 ₽. This is 7% higher (+127 538 ₽) than the average architect data salary in Russian Federation. In addition, they earn an average bonus of 76 386 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level architect data (1-3 years of experience) earns an average salary of 1 464 495 ₽. On the other end, a senior level architect data (8+ years of experience) earns an average salary of 2 599 054 ₽.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
2 464 784 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Architect Data will increase 19 % over 5 years.
This chart displays the highest level of education for:
Architect Data, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHow Much Should You Be Paid?
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.