Data Enterprise Architect

4 ore fa

Milano, Lombardia, Italia NTT DATA A tempo pieno

Job Overview

NTT DATA is seeking a highly skilled Data Enterprise Architect to join our team. As a Data Enterprise Architect, you will play a key role in defining strategic data architectures to support business objectives and digital transformation.

Key Responsibilities

  • Collaborate with clients to understand their needs and identify digital transformation opportunities to support business objectives.
  • Define a data strategy aligned with client objectives, including data acquisition, management, analysis, and utilization.
  • Develop and communicate a strategic vision for the company's data architecture, ensuring alignment with industry best practices and supporting innovation and business growth.
  • Evaluate and recommend the most appropriate technology platforms and tools to support company data management and analysis.
  • Define governance policies and procedures to ensure data quality, security, and compliance throughout the organization.
  • Collaborate with clients to assess, plan, and lead the migration of their existing data platforms to cloud solutions.

Requirements

  • Significant IT work experience, with at least 5 years specifically dedicated to designing data solutions and scalable distributed architectures.
  • Deep knowledge of data architecture principles, including data models, integration tools, data management platforms, data analysis, and business intelligence technologies.
  • In-depth knowledge of major data and cloud solutions such as Google Cloud Platform, Microsoft Azure, AWS, Snowflake, Databricks, etc.
  • Experience in implementing data governance solutions, including policy and procedure definition, metadata management, and data security.
  • Excellent communication skills and the ability to work effectively with stakeholders at all levels of the organization.
  • Ability to manage complex projects and coordinate multidisciplinary teams.

Preferred Qualifications

  • Relevant certifications in data architecture and related technologies.

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