Lead Automation Engineer
Listed on 2026-06-06
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IT/Tech
Cloud Computing, Data Engineer
About Us
Are you ready to transform lives through academic excellence, innovative research, strong community partnerships and economic opportunity? Kennesaw State University is one of the 50 largest public institutions in the country. With growing enrollment and global reach, we continue to expand our institutional influence and prominence beyond Georgia, offering more than 190 undergraduate, graduate, and doctoral degrees to empower over 50,000 students.
Job : 298646
Location: Kennesaw, Georgia
Primary Working
Location:
1000 Chastain Road NW, Kennesaw, GA 30144
Additional Campus: 1100 South Marietta Parkway, Marietta, GA 30060
Job SummaryThis position provides advanced technical leadership and hands‑on expertise in designing, developing, implementing, and supporting enterprise automation and integration solutions. The senior technical lead will drive initiatives across business process automation, robotic process automation, API‑based integrations, iPaaS, enterprise data integration, and AI‑enabled automation, delivering secure, scalable, and reusable solutions aligned with institutional modernization goals.
Responsibilities- Provide architectural and technical guidance on enterprise automation and integration strategies, platform direction, and solution design aligned with institutional goals.
- Lead the design, development, implementation, and operational support of enterprise automation and integration solutions across workflows, APIs, data platforms, and systems.
- Serve as the senior hands‑on technical lead for complex initiatives, defining technical approaches, development standards, and solution quality.
- Design, build, and support business process automation, robotic process automation, and workflow orchestration using platforms such as Power Automate, UiPath, or similar tools.
- Design, develop, and maintain API‑based integrations, connectors, and orchestration flows using iPaaS and middleware platforms such as Mule Soft, Boomi, Snap Logic, or Azure services.
- Develop and support integrations between enterprise applications, databases, cloud platforms, and on‑premises systems using APIs, events, messaging, and file‑based exchanges.
- Collaborate with data teams to integrate automation services with enterprise data platforms and analytics environments including Azure Data Factory, Microsoft Fabric, Oracle, and SQL Server.
- Lead technical solutioning for automation and integration involving ERP, CRM, SIS, identity management, document systems, collaboration platforms, and related enterprise technologies.
- Translate business requirements and process inefficiencies into secure, scalable, supportable, and reusable automation and integration solutions.
- Establish and enforce reusable integration patterns, coding standards, documentation practices, and technical best practices for automation and integration delivery.
- Troubleshoot complex automation, orchestration, API, and integration issues and lead resolution efforts across platforms, teams, and vendors.
- Support platform performance, resiliency, security controls, lifecycle management, and compliance requirements for automation and integration services.
Educational Requirements: Bachelor’s degree from an accredited institution of higher education.
Other
Required Qualifications:
Current, valid and unrestricted driver’s license.
Required Experience: Eight (8) years of experience in enterprise automation, systems integration, and/or related IT disciplines.
Preferred QualificationsRelevant
Certifications:
Microsoft Power Platform Solution Architect Expert, Microsoft Azure Integration Services, UiPath Advanced RPA Developer, Mule Soft Certified Integration Architect, Boomi Certification.
Preferred Educational
Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degree is a plus.
Preferred Experience: Experience in higher education IT environments supporting enterprise‑wide platforms and services; AI‑enabled automation including document processing, OCR, decisioning, process mining, or intelligent workflow orchestration; designing and supporting integrations with Workday Finance, Workday HCM, and Workday…
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