Data Enterprise Architect

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

Descrizione del lavoro

NTT DATA Corporation is seeking a Data Enterprise Architect to drive strategic data architecture initiatives that align with client objectives and support digital transformation. The role includes collaborating with clients, defining data strategies, and leading the design of cloud-ready architectures to enhance data usability and governance across the organization.

Competenze

• Experience in leading data strategies and architectures.
• Strong analytical skills and business acumen.
• Ability to collaborate with clients on digital transformation.

Mansioni

• Collaborate with clients to define data strategies and architectures.
• Evaluate and recommend technology platforms supporting data management.
• Lead cloud data platform migrations efficiently.

Conoscenze

Data Strategy

Cloud Solutions

Data Architecture

Data Governance

Business Requirements Analysis

Formazione

Bachelor's or Master's Degree in Computer Science or related field

Strumenti

Modern Data Warehouse

Data Lakehouse

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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