Technical Integration Lead - Platform Lifecycle Management

The Technical Integration Lead will lead the assessment, modernization, and migration of business applications and their databases from existing data centers and platforms to Google Cloud. This hands-on technical leadership role combines application modernization, database modernization, cloud architecture, and delivery leadership. The successful candidate will guide cross-functional teams through strategy, design, migration, cutover, and transition to operations—delivering secure, resilient, performant, and cost-effective outcomes aligned with business priorities.

This role provides hands-on experience with a wide range of technologies and transformation programs, from mainframe integration and modernization to cloud-native architectures, APIs, intelligent automation, data platforms, and emerging agentic AI solutions. Team members have the opportunity to continuously expand their technical expertise while delivering impactful enterprise-scale capabilities across the organization.

Application modernization and migration 

Lead end-to-end modernization and migration of application portfolios to Google Cloud, from discovery and disposition through architecture, implementation, cutover, and operational handoff. 

Develop modernization approaches such as rehosting, replatforming, refactoring, containerization, and replacement, selecting the right path based on business value, technical fit, risk, and total cost of ownership. 

Partner with application owners, product teams, architects, security, operations, and suppliers to define target-state designs, dependencies, migration waves, acceptance criteria, and release plans. 

Database modernization 

Lead database discovery, assessment, target-state design, and migration planning for relational and other data platforms moving to Google Cloud. 

Evaluate database modernization options—including managed database services, compatibility, schema and code remediation, data movement, replication, testing, cutover, and rollback strategies. 

Apply working knowledge of Google Cloud database services and patterns, including Cloud SQL, AlloyDB for PostgreSQL, and Spanner, matching service capabilities to workload requirements and constraints. 

Address data integrity, availability, performance, security, backup and recovery, disaster recovery, and operational support throughout migration and post-migration stabilization. 

Understand and oversee use of database modernization and migration tools, such as discovery and assessment utilities, schema/code conversion tools, replication and CDC solutions, data validation tools, and cloud-native migration services. Select tools based on source/target compatibility, scale, downtime objectives, and risk. 

Technical and people leadership 

Lead and develop multidisciplinary teams spanning application engineering, database engineering, cloud platform, infrastructure, security, testing, and operations. 

Provide clear direction, establish ownership and decision-making, remove blockers, manage dependencies, and foster collaboration across internal teams and third-party partners. 

Mentor team members, build modernization capabilities, promote engineering standards, and reinforce a culture of accountability, knowledge sharing, and continuous improvement. 

Serve as a trusted point of contact for product development organizations, skill teams, suppliers, and business stakeholders; communicate progress, decisions, risks, and outcomes in clear business and technical terms. 

Contribute to portfolio-level technology rationalization and modernization points of view with product teams and supplier partners. 

Ensure designs and migrations meet organizational security, privacy, architecture, operational, and regulatory requirements. 

Identify and mitigate technical, delivery, data, security, and operational risks; lead readiness reviews, cutover governance, and post-migration retrospectives. 

Improve repeatable migration playbooks, tooling, governance, and delivery practices; track outcomes and apply lessons learned across migration waves. 

Support transition to operations with runbooks, monitoring and alerting, service ownership, support readiness, and knowledge transfer.