Data Enterprise Architect

NTT DATA Corporation; Livorno; In loco; EUR 40.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a Data Enterprise Architect to develop strategic data architectures that align with business objectives. This role involves working closely with Business Analysts and Solution Architects to design and implement cutting-edge data solutions, ensuring data quality and compliance.

Competenze

• Experience in data architecture roles with strong analytical skills.
• Knowledge of cloud-native solutions and data governance practices.
• Ability to collaborate with cross-functional teams.

Mansioni

• Analyze business requirements and identify digital transformation opportunities.
• Define data strategies and align architecture with industry best practices.
• Evaluate technology platforms to optimize data management and analysis.

Conoscenze

Business requirements analysis

Data strategy definition

Data architecture design

Data governance

Cloud Data Platform Migration

Formazione

Relevant degree in Computer Science or related field

Strumenti

Modern Data Warehouse

Data Lakehouse

Data search engines

Analytics tools

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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