Data warehouse specialist vs data architect

The differences between data warehouse specialists and data architects can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data architect has an average salary of $113,700, which is higher than the $78,418 average annual salary of a data warehouse specialist.

The top three skills for a data warehouse specialist include data warehouse, ETL and data warehousing. The most important skills for a data architect are analytics, architecture, and java.

Data warehouse specialist vs data architect overview

	Data Warehouse Specialist	Data Architect
Yearly salary	$78,418	$113,700
Hourly rate	$37.70	$54.66
Growth rate	9%	5%
Number of jobs	119,990	152,504
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 67%	Bachelor's Degree, 64%
Average age	46	44
Years of experience	4	-

Data warehouse specialist vs data architect salary

Data warehouse specialists and data architects have different pay scales, as shown below.

	Data Warehouse Specialist	Data Architect
Average salary	$78,418	$113,700
Salary range	Between $61,000 And $99,000	Between $84,000 And $152,000
Highest paying City	Pleasanton, CA	San Francisco, CA
Highest paying state	Maryland	California
Best paying company	Avid	Meta
Best paying industry	Finance	Automotive

Differences between data warehouse specialist and data architect education

There are a few differences between a data warehouse specialist and a data architect in terms of educational background:

	Data Warehouse Specialist	Data Architect
Most common degree	Bachelor's Degree, 67%	Bachelor's Degree, 64%
Most common major	Computer Science	Computer Science
Most common college	University of Pennsylvania	Massachusetts Institute of Technology

Data warehouse specialist vs data architect demographics

Here are the differences between data warehouse specialists' and data architects' demographics:

	Data Warehouse Specialist	Data Architect
Average age	46	44
Gender ratio	Male, 63.7% Female, 36.3%	Male, 81.2% Female, 18.8%
Race ratio	Black or African American, 7.3% Unknown, 5.2% Hispanic or Latino, 9.0% Asian, 22.7% White, 55.4% American Indian and Alaska Native, 0.5%	Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%
LGBT Percentage	6%	11%

Differences between data warehouse specialist and data architect duties and responsibilities

Data warehouse specialist example responsibilities.

Lead system maintenance, upgrade, ETL, scheduling, and installation of client software, holding accountability for performance.
Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
Determine data extraction and transformation require to support reporting requirements.
Develop ETL documentation including data flow diagrams, process diagrams, data transformation mapping documentation and business rules.
Create SSIS packages to upload data to SQL server.
Design, implement, modify and schedule SSIS packages in SSMS.

Data architect example responsibilities.

Handle large projects throughout SDLC phases and manage teams and deliver successfully.
Design and manage reference data and master data programs: design and implement RDM and MDM solutions.
Lead the evaluation process for an ultimate dashboard solutions that can provide fast development and powerful visualization plus self-service features.
Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
Deploy and monitor jobs and applications running on Hadoop clusters for making continuous improvement to existing architecture.
Provide data integration scheduling, exception management, event notification and ETL operational reporting and audit services.

Data warehouse specialist vs data architect skills

Common data warehouse specialist skills

Data Warehouse, 11%
ETL, 9%
Data Warehousing, 8%
Business Intelligence, 7%
Architecture, 5%
Data Analysis, 4%

Common data architect skills

Analytics, 9%
Architecture, 7%
Java, 5%
Data Lake, 4%
AWS, 4%
Hadoop, 4%

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Data Warehouse Specialist vs Data Architect

Updated January 8, 2025

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