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Data communication engineer vs lead data architect

The differences between data communication engineers and lead data architects can be seen in a few details. Each job has different responsibilities and duties. Additionally, a lead data architect has an average salary of $112,015, which is higher than the $104,774 average annual salary of a data communication engineer.

The top three skills for a data communication engineer include switches, routers and network operations. The most important skills for a lead data architect are analytics, data management, and java.

Data communication engineer vs lead data architect overview

Data Communication EngineerLead Data Architect
Yearly salary$104,774$112,015
Hourly rate$50.37$53.85
Growth rate5%5%
Number of jobs98,216150,424
Job satisfaction--
Most common degreeBachelor's Degree, 63%Bachelor's Degree, 57%
Average age4545
Years of experience--

Data communication engineer vs lead data architect salary

Data communication engineers and lead data architects have different pay scales, as shown below.

Data Communication EngineerLead Data Architect
Average salary$104,774$112,015
Salary rangeBetween $84,000 And $130,000Between $84,000 And $149,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyPrecise SystemsMeta
Best paying industryMediaTechnology

Differences between data communication engineer and lead data architect education

There are a few differences between a data communication engineer and a lead data architect in terms of educational background:

Data Communication EngineerLead Data Architect
Most common degreeBachelor's Degree, 63%Bachelor's Degree, 57%
Most common majorComputer ScienceComputer Science
Most common collegeCalifornia State University - Long BeachStanford University

Data communication engineer vs lead data architect demographics

Here are the differences between data communication engineers' and lead data architects' demographics:

Data Communication EngineerLead Data Architect
Average age4545
Gender ratioMale, 89.6% Female, 10.4%Male, 61.3% Female, 38.7%
Race ratioBlack or African American, 10.2% Unknown, 4.5% Hispanic or Latino, 14.3% Asian, 10.2% White, 60.5% American Indian and Alaska Native, 0.3%Black or African American, 8.8% Unknown, 4.4% Hispanic or Latino, 12.8% Asian, 17.7% White, 56.0% American Indian and Alaska Native, 0.3%
LGBT Percentage7%7%

Differences between data communication engineer and lead data architect duties and responsibilities

Data communication engineer example responsibilities.

  • Design, configure, implement, and manage MPLS and VPN networks internationally.
  • Install and manage VPN devices for site-to-site and mobile client-base VPN connectivity to corporate resources.
  • Manage and dispatch a team of technicians to troubleshoot point of sale and data communications equipment.
  • Utilize advanced encryption devices to secure communications between all locations manage by the department.
  • Develop a scalable and cost efficient voice and data, network design, SATCOM, and operating solution.
  • Repair and maintain legacy broadband LAN system.
    • Show more

Lead data architect example responsibilities.

  • Define and manage MDM RFP for software selection.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Perform dimensional data modeling using Erwin to support data warehouse design and ETL development.
  • Expose plan reports using HADOOP and HAWQ.
  • Map the extracted data to Java components generate.
  • Design tables that publish deep analytics and dashboard reports by processing 60MM transactions per day.
    • Show more

Data communication engineer vs lead data architect skills

Common data communication engineer skills
  • Switches, 10%
  • Routers, 6%
  • Network Operations, 6%
  • Lan, 5%
  • Technical Support, 4%
  • Encryption, 4%
Common lead data architect skills
  • Analytics, 14%
  • Data Management, 7%
  • Java, 5%
  • Data Governance, 5%
  • Data Quality, 5%
  • Emerging Technologies, 5%

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Updated January 8, 2025

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