Master Data Architect Azure
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
- 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