pData Intelligence Business Line NTT DATA is looking for a Master Data Architect Azure. /p h3Your Contribution In This Role /h3 ul liManage Key Clients /li liManage the relationships with Microsoft /li liManage the Azure Center of Excellence /li liLead Data Analytics Azure projects /li liSupport Recruitment /li liSupport Value Proposition /li liSupport Development of skills and capabilities, such as: /li liDesign Data Platform using Azure DATA AI services, such as Synapse, Data Factory, Data Lake Gen2, Stream Analytics, Purview, etc. /li liDesign operations architecture and conduct performance engineering for large scale data lakes in production environment /li liApply the Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF) to the solution design and implementation /li liCreate 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)



/li liParticipate in client design workshops and provide tradeoffs and recommendations towards building solutions. /li liMentor other engineers in coding best practices and problem solving /li /ul h3The ideal profile /h3 ul liProven experience in the field of data analytics, preferably from Consulting companies /li liMinimum of 5 years of experience in managing a team of BI/data analysts up to senior level /li liWorking experience in Azure cloud native environment /li liExperience and knowledge of Big Data Architectures, cloud and on premise /li liAzure infrastructure and networking working experience /li liAzure Load Ingest services: Event Hub, Data Factory, Databricks /li liAzure main Storage services: Data Lake Gen1, Data Lake Gen 2, Delta Lake /li liAzure main Process Serve services: Synapse, Databricks, Stream Analytics /li liExperience in building and deliver proofs-of-concept, in order to address specific business ne

📌 Master Data Architect Azure (Pisa)
🏢 Ntt Data Europe & Latam
📍 Pisa