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Data warehouse consultant vs data architect

The differences between data warehouse consultants 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 $91,441 average annual salary of a data warehouse consultant.

The top three skills for a data warehouse consultant include data quality, ETL and oracle sql. The most important skills for a data architect are analytics, architecture, and java.

Data warehouse consultant vs data architect overview

Data Warehouse ConsultantData Architect
Yearly salary$91,441$113,700
Hourly rate$43.96$54.66
Growth rate9%5%
Number of jobs140,520152,504
Job satisfaction--
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 64%
Average age4644
Years of experience4-

Data warehouse consultant vs data architect salary

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

Data Warehouse ConsultantData Architect
Average salary$91,441$113,700
Salary rangeBetween $69,000 And $119,000Between $84,000 And $152,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyDIVERSANTMeta
Best paying industryRetailAutomotive

Differences between data warehouse consultant and data architect education

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

Data Warehouse ConsultantData Architect
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 64%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyMassachusetts Institute of Technology

Data warehouse consultant vs data architect demographics

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

Data Warehouse ConsultantData Architect
Average age4644
Gender ratioMale, 74.0% Female, 26.0%Male, 81.2% Female, 18.8%
Race ratioBlack or African American, 6.3% Unknown, 5.1% Hispanic or Latino, 8.1% Asian, 28.1% White, 51.9% 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 Percentage6%11%

Differences between data warehouse consultant and data architect duties and responsibilities

Data warehouse consultant example responsibilities.

  • Design and manage reference data and master data programs: design and implement RDM and MDM solutions.
  • Enhance applications with SQL, PL/SQL API for insurance coverage premiums and claims business rules.
  • Involve to develop procedures, functions, packages and triggers for enforcing the business rules using PL/SQL.
  • Extract data from source systems to a data mart running on Teradata using utilities like MLOAD and FastLoad.
  • Utilize source analyzer, designer, mapping, and workflow monitor informatica tools
  • Create various UNIX shell scripts for scheduling various data cleansing scripts and loading scripts.
  • Show more

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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Data warehouse consultant vs data architect skills

Common data warehouse consultant skills
  • Data Quality, 19%
  • ETL, 18%
  • Oracle Sql, 15%
  • Data Warehouse, 15%
  • Provisioning, 13%
  • PL/SQL, 11%
Common data architect skills
  • Analytics, 9%
  • Architecture, 7%
  • Java, 5%
  • Data Lake, 4%
  • AWS, 4%
  • Hadoop, 4%

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