Master Data Architect Azure
Pubblicato il 01-10-2026 - Ntt Data in Milano
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 fr