Azure Data Architect
Pubblicato il 01-10-2026 - Ntt Data in Milano
Overview
As an Azure Data Architect at NTT Data, you design and operate cloud-native data processing systems with emphasis on security, scalability, reliability, and portability.
You collaborate with business analysts and solution architects to translate use cases into robust data pipelines and data lakes for analytics and AI models.
You bridge Data Science and Data Engineering, delivering practical, innovative solutions and driving continuous improvement in a multinational, cross-cultural setting.
Responsabilità
Design, build, and operationalize data processing systems with strong security and compliance
Deliver data acquisition, transformation, cleansing, conversion, compression, and loading into data lakes for analytics/ML
Collaborate with business analysts and solution architects to understand use cases and data needs
Migrate workloads from on-premises to cloud environments
Monitor distributed data infrastructure and pipelines using Azure tools or open-source solutions
Prototype proofs-of-concept to address specific business needs
Serve as a bridge between Data Science and Data Engineering to align both domains
Share innovative,
simple data solutions with the team
Requisiti fondamentali
Cloud-native experience in at least one major public cloud (GCP/AWS/Azure)
5+ years on Azure preferred
Experience with Big Data architectures, cloud and on-premise
Azure infrastructure and networking experience
Proven ability to build/deliver proofs-of-concept for business needs
Experience migrating workloads from on-prem to cloud
Experience monitoring distributed infrastructure (Grafana, Prometheus, Azure tools)
Proficient in Java, Scala, Python, and shell scripting
SQL knowledge
Experience with Agile methodology and Kanban
Experience leading medium-sized teams
Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure ETL/ELT tools
Microsoft Certification: Azure Data Engineer Associate or Azure Solutions Architect Expert
Thinking outside the box
Continuous improvement mindset (KAIZEN)
Cross-functional collaboration
Azure data services (Data Factory, Synapse)
Databricks
Apache Spark