Data Enterprise Architect

NTT DATA Corporation; Plasencia; In loco; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a Data Enterprise Architect to collaborate with clients on data architecture, governance, and cloud migration strategies. This role offers the chance to lead innovative solutions that align with business objectives, promoting digital transformation while ensuring data quality and compliance across the organization.

Competenze

• Experience in defining data strategies aligned with business objectives.
• Skills in evaluating and recommending data platforms and tools.
• Ability to design data architectures using best practices.

Mansioni

• Lead business requirements analysis and identify transformation opportunities.
• Develop strategic vision for data architecture and evaluate platforms.
• Define data governance policies to ensure quality and compliance.

Conoscenze

Data architecture design

Data governance

Cloud Data Platform Migration

Business requirements analysis

Data strategy definition

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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