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Master Data Architect Azure

Pubblicato il 13-08-2026 - Altro in Treviso

Data & Intelligence Business Line NTT DATA is looking for a Master Data Architect Azure.
Your Contribution In This Role
Manage Key Clients
Manage the relationships with Microsoft
Manage the Azure Center of Excellence
Lead Data & Analytics Azure projects
Support Recruitment
Support Value Proposition
Support Development of skills and capabilities, such as:
Design Data Platform using Azure DATA & AI services, such as Synapse, Data Factory, Data Lake Gen2, Stream Analytics, Purview, etc.
Design operations architecture and conduct performance engineering for large scale data lakes in production environment
Apply the Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF) to the solution design and implementation
Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on Azure using Azure native services (such as Synapse, Data Factory, etc.) or using data management technologies (such as Talend or Informatica)




Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
Mentor other engineers in coding best practices and problem solving
The ideal profile
Proven experience in the field of data analytics, preferably from Consulting companies
Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
Working experience in Azure cloud native environment
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Azure Load & Ingest services: Event Hub, Data Factory, Databricks
Azure main Storage services: Data Lake Gen1, Data Lake Gen 2, Delta Lake
Azure main Process & Serve services: Synapse, Databricks, Stream Analytics
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud env

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