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# Principal Cloud & Data Engineering Architect

- **Company:** Stellar Professionals
- **Location:** Columbia, SC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Continuous Integration, Information Engineering, Data Systems, DevOps, Distributed Systems, Identity and Access Management, Performance Tuning, Message Oriented Middleware, SAP (Applications), Systems Integration, Enterprise Application Integration, Google Cloud, Enterprise Software Applications, Azure Data Factory, Togaf, Event Driven Architecture, Data Lakes, Bicep, SAP S/4HANA, Enterprise Integration, Restful APIs, Terraform, Azure Resource Manager
- **Published:** August 4, 2026
- **Apply:** https://www.dice.com/job-detail/18110c58-774f-46d4-8030-eac1a724a518

## About the Role

* 10+ Years: Enterprise Technology Solution Design & Development
 * 7+ Years: Cloud Architecture (Microsoft Azure preferred, AWS/Google Cloud Platform acceptable)
 * Enterprise Integration: REST APIs, Event-Driven Architecture & Distributed Systems
 * Data Engineering: Cloud Data Lakes & Analytics Platforms
 * DevOps & IaC: Terraform, Bicep, ARM Templates, and CI/CD Pipelines
 * Security & Governance: IAM, Cloud Security, Performance Optimization & Architecture Standards

Preferred Skills

 * Integration experience with SAP / S/4HANA, ERPs, or Enterprise HR/Financial systems.
 * Azure Certifications (Azure Solutions Architect Expert, Azure Developer, or Azure Data Engineer).
 * TOGAF or equivalent Enterprise Architecture certification.
 * Public sector or highly regulated environment experience.

## Description

* Lead Cloud Architecture: Design and deploy modern, cloud-native Azure solutions and enterprise integration patterns.
 * Build Integration Platforms: Develop scalable APIs, event-driven architectures, and asynchronous messaging systems.
 * Architect Data Solutions: Guide the implementation of enterprise cloud data lakes, analytics, and data engineering capabilities.
 * Establish Governance & DevOps: Drive CI/CD automation, IaC practices, cloud security standards, and technical governance.


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