Azure Data Solution Architect - Cloud Platform Leader

Systems Limited; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Systems Limited is seeking an experienced Data Solution Architect to design and deliver scalable, secure, and cloud-native data platforms on Azure (preferred) with exposure to AWS. You will engage directly with clients to understand business needs, define solution architecture, and lead successful implementations, governance, and data modeling.

The role requires 12+ years in data engineering and analytics, strong Azure expertise (Data Factory, Synapse, Databricks, Data Lake Storage), and

Qualifications

• 12+ years of experience in Data Engineering and Analytics.
• Strong expertise in Microsoft Azure and knowledge of AWS data services.
• Proven client-facing experience and excellent communication.
• Experience designing modern cloud data platforms and migrations.
• Azure certifications preferred (e.g., Azure Solutions Architect Expert).

Responsibilities

• Design end-to-end data architectures and scalable data platforms on Azure or AWS.
• Lead architecture discussions, workshops, and client engagements.
• Define data models, governance, security, and integration patterns.
• Provide technical leadership to delivery teams during projects.
• Prepare architecture documents and proposals with effort estimates.
• Collaborate with stakeholders across business, engineering, and projects.
• Ensure cost-effective, secure, and compliant cloud data solutions.

Skills

Azure data architectures

Client-facing consulting

Data governance & security

Data architecture design

Python

SQL

Spark

ETL/ELT

Data modeling

Cloud migrations

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Azure Data Lake Storage

Microsoft Fabric

AWS data services

Redshift

Glue

EMR

S3

Athena

Lambda

Job description

Systems Limited is seeking an experienced Data Solution Architect to design and deliver scalable, secure, and cloud-native data platforms on Azure (preferred) with exposure to AWS. You will engage directly with clients to understand business needs, define solution architecture, and lead successful implementations, governance, and data modeling.

The role requires 12+ years in data engineering and analytics, strong Azure expertise (Data Factory, Synapse, Databricks, Data Lake Storage), and