Integration Lead Solution Architect

Job Summary

The Integration Lead Solution Architect will provide pre-system integration support, contribute to data platform initiatives, and collaborate with the Chief Data Office. The role will address integration challenges, support vendor build-out activities, and adapt technical solutions as project requirements evolve.

Key Responsibilities

• Provide technical leadership for system integration initiatives and pre-system integration activities.


• Design and support system integrations and API-based solutions across enterprise environments.


• Collaborate with vendors and internal technical teams to support solution build-out and integration activities.


• Develop and support data platform capabilities, including data pipelines, data quality, and data governance.


• Diagnose and troubleshoot complex integration, data, and system issues.


• Analyze technical issues and develop practical solutions to support project delivery.


• Create and maintain technical documentation, integration specifications, and solution artifacts.


• Support knowledge transfer activities across technical teams and project stakeholders.


• Utilize AI coding assistants such as GitHub Copilot, Windsurf, or Claude to support development, automation, and technical workflows.


• Identify opportunities to automate repetitive technical tasks and improve engineering efficiency.


• Collaborate with the Chief Data Office and other stakeholders to align integration and data platform solutions with business and technical requirements.


• Adapt technical approaches and priorities as project needs and integration requirements evolve.

Required Qualifications

• Strong experience in system integration and API development.


• Experience designing, developing, and supporting enterprise integration solutions.


• Strong understanding of data platforms, including data pipelines, data quality, and data governance.


• Proven diagnostic and troubleshooting skills across integration and data environments.


• Experience creating technical documentation and supporting knowledge transfer.


• Experience using at least one AI coding assistant, such as GitHub Copilot, Windsurf, or Claude.


• Experience with task automation and development productivity tools.
  
• Ability to work effectively in evolving project environments and adapt to changing technical requirements.


• Strong communication and collaboration skills when working with technical teams, vendors, and business stakeholders.

Preferred Qualifications

• Experience working in large enterprise environments.


• Experience working with vendor ecosystems and third-party technology providers.


• Experience collaborating with centralized data or Chief Data Office organizations.


• Experience supporting complex enterprise data integration initiatives.