Integration Lead Solution Architect

Compunnel

$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong experience in system integration and API development.
  • Experience designing and developing enterprise integration solutions.
  • Understanding of data platforms, focusing on data pipelines and data governance.
  • Proven skills in diagnosing and troubleshooting integration issues.
  • Experience in creating technical documentation and facilitating knowledge transfer.
  • Familiarity with AI coding assistants (e.g., GitHub Copilot).
  • Knowledge of task automation and development productivity tools.
  • Ability to adapt to evolving project environments and changing requirements.

Responsibilities

  • Lead technical oversight for system integration initiatives.
  • Design and support API-based solutions across the enterprise.
  • Collaborate with vendors and technical teams for solution integration.
  • Develop capabilities for data platforms, focusing on data quality and governance.
  • Diagnose and troubleshoot complex data and integration issues.
  • Analyze technical challenges and implement practical solutions.
  • Create and maintain documentation for integration specifications and solutions.

Benefits

  • Collaborative environment with exposure to evolving technology and data initiatives.
  • Opportunity to work closely with the Chief Data Office and strategic vendors.
  • Engagement in diverse projects that foster professional development and skill enhancement.
  • Utilization of advanced AI tools to improve workflow efficiency.
Full Job Description
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.

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