Azure Data Architect
Pubblicato il 03-10-2026 - NTT DATA Group in Bologna
Azure Data ArchitectA Data Architect is an IT expert who enables data-driven decision making by collecting, transforming, and publishing data. At NTT Data, a Data Architect should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, and flexibility and portability. The main mission of a Data Architect is to turn raw data into information, creating insights and business value.
Si candidi ora: legga i dettagli del lavoro scorrendo verso il basso. Verifichi di possedere le competenze necessarie prima di inviare la candidatura.
Your contribution in this role:
- The Azure Data Architect at NTT Data understands the challenges of a cloud-native environment.
- Supports customers in Big Data projects.
- Works in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives.
- Delivers data acquisition, transformation and improvement, cleansing, conversion, compression,
and loading of data into data lakes to be consumed by analytics and machine learning models.
- Thinks outside the box to find innovative yet simple solutions to everyday issues, and shares those solutions with the rest of the team.
We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.
If you are a Data Scientist looking for more experience in preparing data, or a Data Engineer with interest also in Data Science, willing to have a KAIZEN approach, continuously improving technical skills and knowledge, you can be an Azure Data Engineer in NTT Data’s Business Intelligence Service Line, in an environment where Japanese and European cultural elements are intertwined
Consiento el tratamiento de mis datos para el envío de comunicaciones electrónicas del Grupo NTT DATA Europe and Latam.
Información Básica de Protección de Datos: Las e