Data Enterprise Architect

NTT DATA Corporation; Roma, Napoli, Bologna, Milano, Bari; In loco; EUR 60.000 - 85.000; Tempo pieno

Descrizione del lavoro

A leading data solutions company based in Rome is seeking a Data Enterprise Architect to collaborate with clients on strategic data architectures. In this role, you will define a data strategy, design cloud-native and hybrid data architectures, and assess technology platforms. The ideal candidate will have expertise in data governance and cloud migration. This position offers an exciting opportunity to shape data transformation initiatives for business growth.

Mansioni

• Collaborating with clients to understand their needs, identifying digital transformation opportunities.
• Defining a data strategy aligned with client objectives, including data acquisition and management.
• Developing a strategic vision for the company's data architecture based on industry best practices.
• Evaluating technology platforms and tools for data management and analysis.
• Defining governance policies for data quality, security, and compliance.
• Leading the migration of existing data platforms to cloud solutions.

Descrizione del lavoro

Overview

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.

Responsibilities

• 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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