Data Enterprise Architect

NTT DATA Corporation; Udine; In loco; EUR 50.000 - 90.000; Tempo pieno

Descrizione del lavoro

Join NTT DATA Corporation as a Data Enterprise Architect, where you'll play a crucial role in shaping data architectures and strategies to support client objectives and facilitate digital transformation. Engage with clients to define innovative solutions and oversee data governance and platform migrations for enhanced organizational efficiency.

Competenze

• Experience with data management, data architecture, and governance.
• Familiarity with cloud solutions and modern data platforms.
• Strong analytical skills and ability to lead data initiatives.

Mansioni

• Collaborate with clients on data strategy and architecture.
• Lead data platform evaluation and migration to cloud solutions.
• Define governance policies for data quality and security.

Conoscenze

Data strategy

Data architecture design

Data governance

Cloud solutions

Business requirements analysis

Data-related technology evaluation

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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