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Azure Cloud Data Architect for ERP/CRM & D365

EXASOFT PTE. LTD.

Singapore

On-site

SGD 120,000 - 150,000

Full time

Today
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Job summary

A leading data solutions firm in Singapore is seeking a seasoned Data Engineering Lead with over 15 years of experience in cloud platforms and enterprise data management. The successful candidate will oversee the architecture and governance of cloud-based ecosystems, focusing on Azure components like Data Factory and Cosmos DB. Strong leadership in overseeing complex data integrations and managing OLTP/OLAP environments is essential. This role promises an opportunity for significant impact within a dynamic sector.

Qualifications

  • 15+ years of experience in enterprise data engineering, cloud platforms, and database administration.
  • Strong proficiency of 15+ years in Azure cloud components such as ADF, ADLS, Databricks, and Synapse.
  • Deep expertise in OLTP/OLAP systems, data modelling, and optimization strategies.

Responsibilities

  • Lead the architecture, deployment, and governance of cloud-based data ecosystems using Azure.
  • Oversee the migration and modernization of legacy databases to cloud-native solutions.
  • Manage OLTP and OLAP environments for high availability and performance.

Skills

Azure Cloud Architecture
SQL Programming
Data Modelling
ETL/ELT Tools
Leadership
Python
Stakeholder Management
Vendor Management

Education

Relevant Professional Certifications in Azure

Tools

Azure Data Factory
Azure Data Lake
Cosmos DB
Microsoft Dynamics 365
DB2
Job description
A leading data solutions firm in Singapore is seeking a seasoned Data Engineering Lead with over 15 years of experience in cloud platforms and enterprise data management. The successful candidate will oversee the architecture and governance of cloud-based ecosystems, focusing on Azure components like Data Factory and Cosmos DB. Strong leadership in overseeing complex data integrations and managing OLTP/OLAP environments is essential. This role promises an opportunity for significant impact within a dynamic sector.
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