Azure Data Platform Architect — AI & Modernization

NTT DATA, Inc.

Petaling Jaya

On-site

MYR 320,000 - 360,000

Full time

14 days+

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Job summary

NTT DATA, Inc. in Malaysia is seeking an experienced Data Platforms & AI Azure Architect to join our Cloud & Security practice.

You will design modern Azure data platform solutions, oversee ingestion, storage, processing, analytics and reporting, and advise on the Azure data stack to deliver business value. You will collaborate with AI, cloud, security and application teams, support presales activities, and help modernise legacy data platforms while mapping challenges to practical, data-driven

Qualifications

  • 7+ years of Microsoft technology experience with Azure data platform architecture.
  • Experience designing enterprise data platforms (batch, streaming, ETL, analytics, reporting).
  • Strong understanding of Azure data services, governance and lifecycle management.
  • Experience with Microsoft Fabric or other modern data platform technologies.
  • Presales or solution consulting experience in cloud SI/GSI or MSP/consulting.
  • Strong English communication; able to present to senior stakeholders.
  • Nice-to-have: AI/ML platforms, Azure AI services, or applied analytics.

Responsibilities

  • Design Azure data platform solutions for enterprise clients.
  • Architect ingestion, storage, processing, analytics, and reporting on Azure.
  • Advise on Fabric, Data Factory, Synapse, Databricks, Power BI.
  • Support presales with Workshops, discovery, proposals, estimates.
  • Collaborate with AI, cloud, security, and apps teams to deliver data/AI solutions.
  • Map business challenges to data-driven outcomes and viable options.

Skills

Azure data platform architecture
Microsoft technology experience
Presales
English communication
AI/ML platforms (Nice to have)
Azure Fabric / Azure data services

Job description

NTT DATA, Inc. in Malaysia is seeking an experienced Data Platforms & AI Azure Architect to join our Cloud & Security practice.

You will design modern Azure data platform solutions, oversee ingestion, storage, processing, analytics and reporting, and advise on the Azure data stack to deliver business value. You will collaborate with AI, cloud, security and application teams, support presales activities, and help modernise legacy data platforms while mapping challenges to practical, data-driven

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