Master Data Architect Azure

NTT DATA Europe & Latam

Milano

In loco

EUR 85.000 - 110.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

NTT DATA Europe & Latam in Italy is seeking a Master Data Architect Azure to design and govern data platforms on Azure, including Synapse, Data Factory and Data Lake Gen2. You will lead Azure-based data analytics projects, mentor engineers, and coordinate with clients and Microsoft.

The role requires 5+ years managing BI/data analytics teams, strong knowledge of Azure services, and hands-on experience with data ingestion, streaming and data governance.

Competenze

  • Proven experience in 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.

Mansioni

  • Manage Key Clients.
  • Manage the relationships with Microsoft.
  • Manage the Azure Center of Excellence.
  • Lead Data & Analytics Azure projects.
  • Mentor other engineers in coding best practices and problem solving.

Conoscenze

Azure cloud
Big data
BI tools
Stakeholder management
Agile Kanban
Data pipelines
Synapse
Databricks
Data Factory
Event Hub
Data Lake Gen2
Cloud migration
POC delivery
Performance engineering

Descrizione del lavoro

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 environment
  • Experience in monitoring distributed infrastructure, using Azure tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
  • Working experience with Agile Methodology and Kanban
  • Strong in data manipulation and BI tools
  • Solid stakeholder management skills, have dealt with top management to drive various projects
  • Proactive in taking initiatives, exceptional problem-solving skills, strong presence to manage cross-functional teams and execute well in a highly collaborative role
Location

Bari, Bologna, Cosenza, Milano, Napoli, Roma, Salerno, Torino, Treviso, Pisa

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