Knowledge architect vs data architect

The differences between knowledge architects and data architects can be seen in a few details. Each job has different responsibilities and duties. Additionally, a knowledge architect has an average salary of $115,265, which is higher than the $113,700 average annual salary of a data architect.

The top three skills for a knowledge architect include cloud, HTML and product development. The most important skills for a data architect are analytics, architecture, and java.

Knowledge architect vs data architect overview

	Knowledge Architect	Data Architect
Yearly salary	$115,265	$113,700
Hourly rate	$55.42	$54.66
Growth rate	3%	5%
Number of jobs	75,536	152,504
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 57%	Bachelor's Degree, 64%
Average age	45	44
Years of experience	4	-

Knowledge architect vs data architect salary

Knowledge architects and data architects have different pay scales, as shown below.

	Knowledge Architect	Data Architect
Average salary	$115,265	$113,700
Salary range	Between $82,000 And $160,000	Between $84,000 And $152,000
Highest paying City	-	San Francisco, CA
Highest paying state	-	California
Best paying company	-	Meta
Best paying industry	-	Automotive

Differences between knowledge architect and data architect education

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

	Knowledge Architect	Data Architect
Most common degree	Bachelor's Degree, 57%	Bachelor's Degree, 64%
Most common major	Computer Science	Computer Science
Most common college	Massachusetts Institute of Technology	Massachusetts Institute of Technology

Knowledge architect vs data architect demographics

Here are the differences between knowledge architects' and data architects' demographics:

	Knowledge Architect	Data Architect
Average age	45	44
Gender ratio	Male, 70.5% Female, 29.5%	Male, 81.2% Female, 18.8%
Race ratio	Black or African American, 1.9% Unknown, 3.8% Hispanic or Latino, 9.4% Asian, 12.5% White, 72.0% American Indian and Alaska Native, 0.3%	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	15%	11%

Differences between knowledge architect and data architect duties and responsibilities

Knowledge architect example responsibilities.

Design, develop, and manage SharePoint portal sites for teams and departments to communicate effectively and exchange information.
Manage offshore engineering team, overcoming challenges including technical, resource planning & motivation, communication, and infrastructure.
Hire technical talent to build a successful cloud platform data services organization.
Develop script to automatically verify writer's XML and show exact location of invalid XML.
Develop Splunk dashboards for proactive monitoring and support of each service tier of cloud ETL ecosystem.
Designate as project lead for evaluation and acquisition of SAN architecture, including IBM, NetApp and EMC storage.

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.

Knowledge architect vs data architect skills

Common knowledge architect skills

Cloud, 37%
HTML, 36%
Product Development, 24%
XML, 1%
Web Services, 1%
AWS, 1%

Common data architect skills

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