Cloud and Data Engineering Architect - Hybrid

cloud solutions, cloud-native architectures, Microsoft Azure, Amazon Web Services, AWS, Google Cloud Platform, Google Cloud Platform, enterprise cloud platforms, enterprise integration solutions, REST APIs, event-driven architecture, asynchronous messaging, distributed systems, enterprise data platforms, cloud-based data lake, analytics, data engineering technologies, Infrastructure-as-Code, IaC, CI/CD pipelines, DevOps practices, development automation, Terraform, Bicep, ARM templates, cloud security, identity and access management, scalability, performance optimization, monitoring, operational support, cloud architecture standards, technical design pattern, solution documentation, SAP, SAP S/4HANA, ERP platforms, HR systems, enterprise financial applications, Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, ERP systems 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 consultant will provide principal-level architecture expertise to guide solution design, technical implementation, and enterprise adoption of the platform. Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies. Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns.

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