We may earn an affiliate commission when you visit our partners.

Data Warehouse Architect

Save

generative_async_error: 'str' object has no attribute 'get'

Read more

generative_async_error: 'str' object has no attribute 'get'

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Data Warehouse Architect

City
Median
New York
$163,000
San Francisco
$200,000
Seattle
$158,000
See all salaries
City
Median
New York
$163,000
San Francisco
$200,000
Seattle
$158,000
Austin
$150,000
Toronto
$160,000
London
£100,000
Paris
€77,000
Berlin
€78,000
Tel Aviv
₪472,000
Singapore
S$135,000
Beijing
¥484,000
Shanghai
¥495,000
Shenzhen
¥520,000
Bengalaru
₹2,570,000
Delhi
₹1,214,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Warehouse Architect

Take the first step.
We've curated 24 courses to help you on your path to Data Warehouse Architect. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Comprehensive guide to dimensional modeling, covering all aspects of the process from data modeling to data warehousing. It is written by Ralph Kimball, one of the pioneers of dimensional modeling, and is considered the definitive work on the subject.
Provides comprehensive overview of all facets of data warehouse design and implementation.
Explains in-depth of dimensional modeling, a core component of building data warehouses.
Collection of writings by Ralph Kimball, one of the pioneers of data warehousing.
Classic in the field of data warehousing. It provides a comprehensive overview of dimensional modeling, which key concept in data warehousing. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing with SQL Server 2019. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides step-by-step guidance for building scalable and reliable data warehouses using Microsoft SQL Server.
Focuses on the modeling aspects of data warehouse design and development.
Covers all aspects of data warehouse design, implementation, and management, including advanced topics such as data quality and security.
Provides in-depth coverage of ETL (extract, transform, load) processes in data warehousing.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing ETL. It covers all the essential aspects of data warehousing ETL, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a practical guide to ETL (extract, transform, load) processes for data warehouses. It covers all aspects of the ETL process, from data extraction to data loading, and includes a number of real-world examples.
Provides a comprehensive overview of machine learning for data warehousing. It covers all the essential aspects of machine learning for data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a solid foundation in data warehousing concepts, technologies, and best practices.
Provides a comprehensive overview of data warehousing, covering all aspects of the process from data modeling to data warehousing. It is written by Paulraj Ponniah, a leading expert in data warehousing, and is considered a valuable resource for practitioners.
Focuses on the system design aspects of data warehousing, including data modeling, data integration, and data quality.
Provides a comprehensive overview of big data analytics. It covers all the essential aspects of big data analytics, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data mining. It covers all the essential aspects of data mining, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser