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Architect & project lead vs data architect

The differences between architects & project lead 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 $111,895 average annual salary of an architect & project lead.

The top three skills for an architect & project lead include architecture, web services and sql server. The most important skills for a data architect are analytics, architecture, and java.

Architect & project lead vs data architect overview

Architect & Project LeadData Architect
Yearly salary$111,895$113,700
Hourly rate$53.80$54.66
Growth rate21%5%
Number of jobs280,115152,504
Job satisfaction--
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 64%
Average age3944
Years of experience4-

Architect & project lead vs data architect salary

Architects & project lead and data architects have different pay scales, as shown below.

Architect & Project LeadData Architect
Average salary$111,895$113,700
Salary rangeBetween $82,000 And $152,000Between $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 architect & project lead and data architect education

There are a few differences between an architect & project lead and a data architect in terms of educational background:

Architect & Project LeadData Architect
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 64%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyMassachusetts Institute of Technology

Architect & project lead vs data architect demographics

Here are the differences between architects & project lead' and data architects' demographics:

Architect & Project LeadData Architect
Average age3944
Gender ratioMale, 87.1% Female, 12.9%Male, 81.2% Female, 18.8%
Race ratioBlack or African American, 4.4% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 32.5% White, 50.1% American Indian and Alaska Native, 0.2%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 Percentage8%11%

Differences between architect & project lead and data architect duties and responsibilities

Architect & project lead example responsibilities.

  • Work with the Comcast QA team to coordinate releases and manage defect resolutions.
  • Configure and manage JGroup multicasting communication for apache tomcat web servers.
  • Involve in OBIEE design, implementation and support from UNIX and Microsoft platforms.
  • Utilize page scripting for asynchronous data updates using AJAX, JSON, and JavaScript.
  • Develop custom tools (.NET and JAVA) to build, deploy and test the application.
  • Analyze the student assessment data and prepare assessment XML data structure, database model for EDI exchange.
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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.
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Architect & project lead vs data architect skills

Common architect & project lead skills
  • Architecture, 11%
  • Web Services, 6%
  • SQL Server, 5%
  • C++, 4%
  • Data Warehouse, 4%
  • Java, 4%
Common data architect skills
  • Analytics, 9%
  • Architecture, 7%
  • Java, 5%
  • Data Lake, 4%
  • AWS, 4%
  • Hadoop, 4%

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