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Data migration technician vs lead technician

The differences between data migration technicians and lead technicians can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a data migration technician and a lead technician. Additionally, a lead technician has an average salary of $90,615, which is higher than the $47,134 average annual salary of a data migration technician.

The top three skills for a data migration technician include desktop support, laptop computers and windows xp. The most important skills for a lead technician are java, architecture, and digital transformation.

Data migration technician vs lead technician overview

Data Migration TechnicianLead Technician
Yearly salary$47,134$90,615
Hourly rate$22.66$43.56
Growth rate10%10%
Number of jobs136,881250,590
Job satisfaction--
Most common degreeBachelor's Degree, 42%Bachelor's Degree, 50%
Average age4242
Years of experience22

Data migration technician vs lead technician salary

Data migration technicians and lead technicians have different pay scales, as shown below.

Data Migration TechnicianLead Technician
Average salary$47,134$90,615
Salary rangeBetween $33,000 And $66,000Between $67,000 And $121,000
Highest paying CityNew York, NYSan Francisco, CA
Highest paying stateNew YorkCalifornia
Best paying companyIBMMeta
Best paying industry-Retail

Differences between data migration technician and lead technician education

There are a few differences between a data migration technician and a lead technician in terms of educational background:

Data Migration TechnicianLead Technician
Most common degreeBachelor's Degree, 42%Bachelor's Degree, 50%
Most common majorComputer NetworkingComputer Science
Most common collegeUniversity of PennsylvaniaMassachusetts Institute of Technology

Data migration technician vs lead technician demographics

Here are the differences between data migration technicians' and lead technicians' demographics:

Data Migration TechnicianLead Technician
Average age4242
Gender ratioMale, 86.9% Female, 13.1%Male, 83.4% Female, 16.6%
Race ratioBlack or African American, 13.0% Unknown, 5.3% Hispanic or Latino, 15.1% Asian, 11.8% White, 54.3% American Indian and Alaska Native, 0.4%Black or African American, 10.4% Unknown, 5.3% Hispanic or Latino, 15.1% Asian, 15.1% White, 53.6% American Indian and Alaska Native, 0.4%
LGBT Percentage11%11%

Differences between data migration technician and lead technician duties and responsibilities

Data migration technician example responsibilities.

  • Manage the virtualization of physical servers in initial efforts to reduce data center footprint.
  • Maintain, troubleshoot, diagnose, and repair client workstations for hardware and software problems and failures.
  • Used Altiris to deploy OS and software over-the-wire.
  • Create printer queues on designate servers for IP printing.
  • Work with SCCM department to update systems and distribute applications.
  • Deploy and configure Cisco IP phone systems at a large financial services firm.
  • Show more

Lead technician example responsibilities.

  • Manage and support the Cisco base corporate remote access VPN solution.
  • Manage the third party IP provider relationship and implement all the bridges between AXI4 and internal buses.
  • Used JIRA to manage the product backlog, tasks assignments, project burn-down rate and for velocity tracking purposes.
  • Manage product test support of new designs used for testing, write technical documentation in HTML improving department processes and procedures.
  • Manage customer functional areas of desktop support, field service, office services and network support to coordinate timely issue resolution.
  • Configure and manage JGroup multicasting communication for apache tomcat web servers.
  • Show more

Data migration technician vs lead technician skills

Common data migration technician skills
  • Desktop Support, 11%
  • Laptop Computers, 8%
  • Windows XP, 8%
  • SCCM, 6%
  • New PC, 6%
  • Network Printers, 5%
Common lead technician skills
  • Java, 10%
  • Architecture, 7%
  • Digital Transformation, 6%
  • Customer Service, 6%
  • Database, 4%
  • HTML, 3%

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