Architect

DynPro is seeking a highly skilled Workato Architect to design, develop, and maintain enterprise integrations using the Workato Integration Platform (iPaaS) . The ideal candidate will be responsible for building scalable integration solutions, automating business processes, and enabling seamless data flow between enterprise applications. This role requires strong technical expertise, collaboration with cross-functional teams, and the ability to drive integration best practices across projects. Key Responsibilities: Design, develop, and maintain integrations between enterprise applications using the Workato platform. Analyze business processes and identify opportunities to improve efficiency through automation. Design and implement scalable, reliable, and secure automated workflows. Develop integrations using APIs, web services, and other enterprise integration technologies. Collaborate with business and technical stakeholders to gather requirements and translate them into integration solutions. Maintain, monitor, and optimize existing Workato integrations to ensure high performance and reliability. Troubleshoot and resolve integration-related issues, performing root cause analysis when necessary. Establish and promote integration best practices, coding standards, and reusable components. Create and maintain technical documentation for integration workflows, configurations, and deployment processes. Partner with stakeholders to identify continuous improvement opportunities through automation. Participate in project planning, technical reviews, and regular status meetings. Required Qualifications: Master's degree in Computer Science or a related technical field. Hands‑on experience designing and developing integrations using the Workato platform. Strong understanding of REST APIs, web services, and enterprise application integration. Experience with relational database concepts and SQL/query languages. Knowledge of advanced database systems and distributed data processing. Understanding of algorithm design, parallel and distributed computing concepts. Experience with large‑scale data analysis concepts. Strong programming fundamentals, data structures, and advanced programming concepts. Knowledge of operating system concepts supporting concurrent systems. Excellent analytical, troubleshooting, communication, and problem‑solving skills. Note: Relevant experience gained through graduate coursework will also be considered. #J-18808-Ljbffr