Data Enterprise Architect

NTT DATA Corporation; Sassari; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

At NTT DATA Corporation, the Data Enterprise Architect will play a critical role in defining and implementing data strategies to support business growth and digital transformation. This position requires collaboration with clients to understand their needs and develop innovative data architectures that leverage modern technologies and best practices in data management.

Competenze

• Experience in data architecture and strategy for business objectives.
• Background in evaluating technology platforms and tools for data management.
• Knowledge of data governance practices and compliance requirements.

Mansioni

• Lead business requirements analysis and define data strategies.
• Design data architectures aligned with best practices for innovation.
• Ensure governance policies for data quality, security, and compliance.

Conoscenze

Data governance

Data strategy definition

Data architecture design

Business requirements analysis

Cloud Data Platform Migration

Descrizione del lavoro

Your role as a Data Enterprise Architect at NTT Data involves collaborating with clients on defining strategic data architectures to support business objectives and digital transformation. Working in partnership with Business Analysts and Solution Architects, you'll have the opportunity to lead the identification and design of cutting-edge data architectures.

Specific responsibilities include :

• Business requirements analysis : Collaborating with clients to understand their needs, identify digital transformation opportunities to support business objectives.
• Data strategy definition : Defining a data strategy aligned with client objectives, including data acquisition, management, analysis, and utilization.
• Data architecture design : Developing and communicating a strategic vision for the company's data architecture, ensuring alignment with industry best practices and supporting innovation and business growth, such as cloud-native architectures, hybrid architectures, Data Mesh paradigms, Data Fabric, Data Virtualization, etc.
• Data platform evaluation : Evaluating and recommending the most appropriate technology platforms and tools to support company data management and analysis, such as Modern Data Warehouse, Data Lakehouse, data search engines, analytics tools, considering factors like reliability, scalability, security, and cost.
• Data governance : Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
• Cloud Data Platform Migration : Collaborating with clients to assess, plan, and lead the migration of their existing data platforms to cloud solutions, ensuring an efficient and cost-effective transition.

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