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Cloud and Data Engineering Architect

Columbia, SC 12.0 Months






Accepted: .doc, .docx, .pdf, - max 20MB
Posted: Aug 03, 2026
Ref: 13087

Position Overview



Scope of the project:
The client is developing a cloud-native integration platform in Microsoft Azure to support enterprise integrations between statewide agencies, client Enterprise Information System, and internal applications. The platform will provide modern synchronous and asynchronous integration capabilities using RESTful APIs, event-driven architecture, enterprise messaging patterns, data lakehouse technologies, and enhanced observability capabilities.
The consultant will provide principal-level architecture expertise to guide solution design, technical implementation, and enterprise adoption of the platform.

Daily Duties / Responsibilities:
Lead the architecture, design, and implementation of enterprise Azure cloud solutions supporting DEA’s modernization initiatives.
Design and establish scalable cloud-native integration patterns utilizing APIs, event-driven architecture, data integration, and Azure platform services.
Provide technical leadership and architecture guidance to development teams, project teams, and implementation partners throughout the solution lifecycle.
Develop and maintain cloud architecture standards, technical documentation, governance practices, and solution recommendations aligned with enterprise objectives.
Collaborate with business stakeholders, enterprise architects, infrastructure, cybersecurity, and vendors to deliver secure, reliable, and scalable enterprise solutions.
Mentor technical staff and support knowledge transfer while promoting cloud engineering best practices and continuous improvements.

Required skills (must include years of experience, in order of importance)
Minimum of 10 years of experience designing, developing and implementing enterprise technology solutions.
Minimum of 7 years of experience designing and implementing cloud solutions and cloud-native architectures using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or comparable enterprise cloud platforms.
Demonstrated experience designing enterprise integration solutions utilizing REST APIs, event-driven architecture, asynchronous messaging, and distributed systems.
Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies.
Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, DevOps practices, and development automation using tools such as Terraform, Bicep, ARM templates, or equivalent technologies.
Strong understanding of cloud security, identity and access management, scalability, performance optimization, monitoring, and operational support.
Experience establishing cloud architecture standards, technical design pattern, governance practices, and solution documentation.

Preferred Skills (Rank in order of Importance):
Experience integrating SAP, SAP S/4HANA, ERP platforms, HR systems, or enterprise financial applications.
Experience supporting large-scale government, public-sector, or highly regulated technology environments.
Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or other ERP systems.
Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns.
Microsoft Azure, TOGAF, or comparable cloud and enterprise architecture certifications.

Required Education:
Bachelor’s degree in Computer Science, Information Technology, Engineering Data Science, or a related technical field. An equivalent combination or relevant education, professional certifications, and progressively responsible experience may be considered in lieu of the degree requirement.

Required / Preferred Certifications:
Preferred:
Azure Solutions Architect Expert
Azure Developer Associate
Azure Data Engineer Associate
TOGAF or equivalent Enterprise Architecture certification

Notes:
Fully Remote with occasional onsite visits required. (The consultant should anticipate being onsite approximately 2-4 business days per month or as frequently as directed by the client leadership.)


VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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Cloud and Data Engineering Architect


Reference Number: 13087
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