Cloud & Data Project Industrialization
Context
As part of its global digital transformation, the client, a large international group, established a Cloud Center of Excellence to structure, secure, and accelerate the adoption of Azure Cloud across its international entities. This initiative aims to support business-driven projects while ensuring architectural consistency, compliance with global standards, and business value creation. To support this cross-functional initiative and industrialize usage, the client relies on Avaliance to structure Cloud & Data practices and support projects end-to-end.
Challenges
The client needed to accelerate the time-to-market of Cloud and Data projects while ensuring robustness, security, and compliance with global standards.
Key challenges included strengthening Cloud governance, integrating security (SecOps), cost control (FinOps), and automation (DevOps) practices, defining standardized, reusable, and compliant Cloud & Data architectures, and supporting strategic projects across their entire lifecycle.

Achievements
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design of Cloud & Data architectures on Azure, including Data Lakehouse platforms (Synapse, Databricks, ADLS Gen2)
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industrialization of batch and streaming ingestion pipelines using Azure Data Factory and Synapse Link
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definition of reusable Cloud & Data blueprints and reference architectures
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integration of DevSecOps practices (Infrastructure as Code with Terraform and Bicep, CI/CD via Azure DevOps)
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implementation of a Cloud & Data governance framework (security, cost management, naming, and tagging)
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facilitation of architecture reviews and coordination across IT, Data, Security, and Business stakeholders