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What is a data warehouse architect and how to become one

Updated January 8, 2025
3 min read
Quoted expert
Kit Cho
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Becoming a Data Warehouse Architect can be exciting when you hear about it, but there is still a lot to know about it before you pursue it. Data Warehouse Architects are responsible for arranging information distribution center arrangements and capacity with the standard information stockroom advancements to create plans that best support an association or business. Commonly,

Data Warehouse Architects accept business objectives just as customer requests and work to make a specific design that will be supported to serve certain expressed targets. Their obligations incorporate arranging and actualizing successful information base arrangements and models, surveying and recognizing data set underlying necessities, and assessing data set execution methods to ensure they follow inside and outside rules.

The average Data Warehouse Architect makes about $108,727 per year. That is $52.27 per hour. Those in the lower 10%, for example, section level positions, just make about $82,000 every year. In the interim, the top 10% are living it up with a normal compensation of $142,000. We have verified that 47.3% of Data Warehouse Architects have a four-year certification.

What general advice would you give to a data warehouse architect?

Kit Cho

Associate Professor of Psychology, University of Houston - Downtown

Be sure to stay abreast of the skills employers value and ensure that you are either developing or continuing to hone in on those skills. Oftentimes, you can find low or no-cost professional development workshops to acquire new skills. It is also important to identify potential mentors and seek their advice regularly on where they think their field is headed and what skills will be required to excel in that area.
ScoreData Warehouse ArchitectUS Average
Salary
7.9

Avg. Salary $110,771

Avg. Salary $59,228

Stability level
5.9

Growth rate 9%

Growth rate 0.3%

Diversity
4.1
Race

American Indian and Alaska Native 0.51%

Asian 11.99%

Black or African American 6.24%

Hispanic or Latino 8.82%

Unknown 4.70%

White 67.73%

Gender

female 17.01%

male 82.99%

Age - 43
Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 43
Stress level
5.9

Stress level is manageable

7.1 - high

Complexity level
8.0

Complexity level is challenging

7 - challenging

Work life balance
5.3

Work life balance is fair

6.4 - fair

Data warehouse architect career paths

Key steps to become a data warehouse architect

  1. Explore data warehouse architect education requirements

    Most common data warehouse architect degrees

    Bachelor's

    63.8 %

    Master's

    29.0 %

    Associate

    3.6 %
  2. Start to develop specific data warehouse architect skills

    SkillsPercentages
    Analytics11.45%
    Data Warehouse7.95%
    Business Intelligence6.67%
    Power Bi6.62%
    Data Warehousing5.62%
  3. Complete relevant data warehouse architect training and internships

    Accountants spend an average of 3-6 months on post-employment, on-the-job training. New data warehouse architects learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as a data warehouse architect based on U.S. Bureau of Labor Statistics data and data from real data warehouse architect resumes.
  4. Research data warehouse architect duties and responsibilities

    • Design dimensional data models, develop SQL and UNIX scripts to automate extraction and loading of data.
    • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
    • Design and build PL/SQL code to extract, transform and load the data into the star schema objects.
    • Design the data warehouse with star and snowflake schemas.
  5. Get data warehouse architect experience

  6. Prepare your data warehouse architect resume

    When your background is strong enough, you can start writing your data warehouse architect resume.

    You can use Zippia's AI resume builder to make the resume writing process easier while also making sure that you include key information that hiring managers expect to see on a data warehouse architect resume. You'll find resume tips and examples of skills, responsibilities, and summaries, all provided by Zippi, your career sidekick.

    Choose from 10+ customizable data warehouse architect resume templates

    Build a professional data warehouse architect resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 10+ resume templates to create your data warehouse architect resume.
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
    Data Warehouse Architect Resume
  7. Apply for data warehouse architect jobs

    Now it's time to start searching for a data warehouse architect job. Consider the tips below for a successful job search:

    1. Browse job boards for relevant postings
    2. Consult your professional network
    3. Reach out to companies you're interested in working for directly
    4. Watch out for job scams

How did you land your first data warehouse architect job

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Average data warehouse architect salary

The average data warehouse architect salary in the United States is $110,771 per year or $53 per hour. Data warehouse architect salaries range between $83,000 and $146,000 per year.

Average data warehouse architect salary
$110,771 Yearly
$53.26 hourly

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Data warehouse architect reviews

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A zippia user wrote a review on Oct 2019
Cons

Less technical, but with some traveling sometimes


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Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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