Data Enterprise Architect

NTT DATA Corporation; Savona; In loco; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

NTT DATA Corporation is seeking a Data Enterprise Architect to collaborate with clients in shaping strategic data architectures. This role focuses on business requirements analysis, data strategy definition, and the design of cutting-edge architectures. Candidates should have expertise in cloud solutions and governance to drive digital transformation within organizations.

Competenze

• Experience in defining strategic data architectures and data strategies.
• Strong analytical skills with a focus on digital transformation and business objectives.
• Expertise in cloud-native architectures and data governance frameworks.

Mansioni

• Collaborate with clients to identify digital transformation opportunities.
• Define data strategies aligned with client objectives across various platforms.
• Lead migration to cloud data platforms and ensure compliance in data governance.

Conoscenze

Data strategy definition

Data architecture design

Business requirements analysis

Cloud Data Platform Migration

Data governance

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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