Azure Data Architect

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