Azure Master Data Architect — Data & Analytics Leader

NTT DATA Europe & Latam; Bologna; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

NTT DATA Europe & Latam is seeking a Master Data Architect Azure to design and oversee Azure-based data platforms for complex analytics programs. The role focuses on leading Data & Analytics projects, mentoring engineers, and managing client relationships within a global framework.

You will design data pipelines and architectures using Synapse, Data Factory, and Data Lake Gen2, while applying the Well-Architected Framework to ensure scalable, secure solutions across on-premise and cloud

Competenze

• Minimum of 5 years of experience in managing a team of BI/data analysts
• 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

Mansioni

• Design Data Platform using Azure DATA & AI services (Synapse, Data Factory, Data Lake Gen2)
• Lead Azure projects in Data & Analytics
• Mentor engineers in coding best practices and problem solving
• Manage relationships with key clients and with Microsoft
• Support development of skills and capabilities in the team
• Participate in client workshops and provide tradeoffs for solutions
• Ensure adherence to Microsoft Well Architected Framework and CAF

Conoscenze

Azure cloud

BI analytics

Team leadership

Data platforms

Big data architectures

Agile/Kanban

Azure data services

Data ingestion

Strumenti

Databricks

Data Factory

Synapse

Stream Analytics

Data Lake Gen2

Delta Lake

Event Hub

Descrizione del lavoro

NTT DATA Europe & Latam is seeking a Master Data Architect Azure to design and oversee Azure-based data platforms for complex analytics programs. The role focuses on leading Data & Analytics projects, mentoring engineers, and managing client relationships within a global framework.

You will design data pipelines and architectures using Synapse, Data Factory, and Data Lake Gen2, while applying the Well-Architected Framework to ensure scalable, secure solutions across on-premise and cloud