Data Architect

874.823 kr. (DKK)/yr

420,59 kr. (DKK)/hr

32.281 kr. (DKK)/yr

The average data architect gross salary in Copenhagen, Denmark is 874.823 kr. or an equivalent hourly rate of 421 kr.. This is 7% higher (+54.165 kr.) than the average data architect salary in Denmark. In addition, they earn an average bonus of 32.281 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Copenhagen, Denmark. An entry level data architect (1-3 years of experience) earns an average salary of 611.769 kr.. On the other end, a senior level data architect (8+ years of experience) earns an average salary of 989.520 kr..

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Salary Potential

951.277 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Data Architect will increase 9 % over 5 years.

Education

This chart displays the highest level of education for:
Data Architect, the majority at 100% with bachelors.

Typical Field of Study: Data Modeling/Warehousing and Database Administration

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City Overview

Copenhagen, Denmark

The cost of living in Copenhagen, Denmark is 26% more than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Copenhagen (Danish: København [kʰøpm̩ˈhɑwˀn] ) is the capital and most populous city of both the country of Denmark and the wider Kingdom of Denmark, with a population of 667,000 people in the municipality and 1.4 million in the urban area. The city is situated mainly on the island of Zealand (Sjælland), with a smaller part on the island of Amager. Copenhagen is separated from Malmö, Sweden, by the Øresund strait. The Øresund Bridge connects the two cities by rail and road. Originally a Viking f

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

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.

Job Description
Defines, designs, and develops relational and/or multi-dimensional databases for warehousing of data. Confers with client, technical staff, and team members to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata for relational databases. Reviews current data structures and recommends optimizations and reconfigurations as warranted.
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