Data Enterprise Architect

4 settimane fa

Milano, Lombardia, Italia NTT DATA A tempo pieno

Job Description

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.

Key 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.
  • Data platform evaluation: Evaluating and recommending the most appropriate technology platforms and tools to support company data management and analysis.
  • Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization.
  • Cloud Data Platform Migration: Collaborating with clients to assess, plan, and lead the migration of their existing data platforms to cloud solutions.

Required Experience:

  • 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, including 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 include relevant certifications in data architecture and related technologies.

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