Migration Architect - Mainframe to Google Cloud Platform

Hi ,

 

This is Rajkumar from Lorven Technologies Inc.

 

Our client is looking  for Migration Architect - Mainframe to Google Cloud Platform project with Chicago, Dallas, Atlanta, Seattle, NYC, New Jersey, Nashville,TN  below is the detailed requirements.

 

Position: Migration Architect - Mainframe to Google Cloud Platform

Location: Chicago, Dallas, Atlanta, Seattle, NYC, New Jersey, Nashville,TN (Multiple Locations)

 

Job Description:

• Bachelor's degree in Computer science or equivalent, with minimum 14+ Years of relevant experience
• Must have a 12+ years in enterprise application/platform architecture
• You should have a 6+ years in mainframe modernization or legacy transformation
• Proven experience leading enterprise-scale mainframe-to-cloud migration programs and Google Cloud Platform architecture and services
• Cloud migration strategies (re-host, re-platform, re-factor)
• Event-driven and hybrid architectures Security, IAM, compliance, and governance and DevOps, CI/CD, and automation
• Deep expertise in mainframe systems, Google Cloud Platform, cloud migration, and automation, capable of leading end-to-end modernization programs—from strategy and design to production deployment and stabilization—while effectively managing senior stakeholders.
• Senior technical and strategic role responsible for leading large-scale mainframe modernization and cloud migration initiatives on Google Cloud Platform (Google Cloud Platform).
• Requires deep expertise in both legacy mainframe technologies and modern cloud architectures.
• Lead enterprise-scale mainframe modernization and migration programs to Google Cloud Platform Advise executive stakeholders (VPs, steering committees) on cloud transformation strategies and roadmaps
• Assess and modernize legacy systems built on: COBOL, PL/I , CICS, IMS DB2, VSAM JCL, batch workloads
• Design migration strategies: Re-host (Lift & Shift) Re-platform and Re-factor
• Architect Google Cloud Platform Dual Run solutions for parallel testing, validation, and risk-free cutovers
• Design event-driven integrations using: Pub/Sub, APIs, BigQuery, Cloud Storage and GKE
• Develop end-to-end Google Cloud Platform architecture including: Change Data Capture (CDC)
• Drive automation, DevOps, CI/CD, and Agentic AI adoption
• Support production cutovers, troubleshooting, and post-migration stabilization
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.