Azure Data Architect

NTT DATA, Inc.; Bardi; In loco; EUR 85.000 - 125.000; Tempo pieno

Descrizione del lavoro

NTT Data, Inc. in Italy is seeking an Azure Data Architect to design and operate cloud-native data processing systems with emphasis on security, scalability, and reliability.

You will translate business use cases into robust data pipelines and data lakes, mentor mid-size teams, and collaborate with Data Science and Data Engineering to deliver innovative analytics solutions.

Competenze

• 5+ years of experience as data architect or related role.
• Strong Azure cloud experience with data lake and data pipeline design.
• Proven ability to lead medium-sized teams and collaborate cross-functionally.
• Experience with Spark/Databricks and Azure ETL/ELT tools.

Mansioni

• Design, build, and operate cloud-native data systems with security and compliance.
• Migrate workloads from on-prem to cloud and optimize data lakes for analytics/AI.
• Collaborate with analysts and solution architects to translate use cases into pipelines.
• Monitor distributed data infrastructure with Grafana/Prometheus and Azure tools.
• Prototype PoCs to address business needs and bridge Data Science with Data Engineering.
• Share innovative, simple data solutions with the team.
• Lead medium-sized teams and apply Agile/Kanban practices.
• Demonstrate cloud-native experience in Azure, with broader GCP/AWS exposure.

Conoscenze

Azure Cloud

Data Pipelines

Big Data

Leadership

Agile Kanban

Cross-functional collaboration

SQL

Python

Java

Scala

Shell scripting

Security & compliance

Strumenti

Databricks

Azure Data Factory

Azure Synapse

Apache Spark

Grafana

Prometheus

Azure tools

Open-source tools

Descrizione del lavoro

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.

• 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
• 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
• Thinking outside the box
• Cross-functional collaboration
• Databricks