Role Overview
Design, develop, and optimize enterprise data architecture, including data warehouses, pipelines, models, and cloud-based platforms. Ensure a high-quality, scalable, and secure data platform that supports business intelligence (BI), advanced analytics, and enterprise-wide data integration.
What You Will Do
Manage end-to-end design and development of enterprise data architecture, define and maintain data models, schemas, storage frameworks, and access strategies, drive the adoption of modern data architectures, and establish guiding design principles.
Why It Might Be a Fit
You will work closely with data analysts, BI developers, data scientists, and IT teams to drive best practices in data engineering and contribute to the organisation’s broader journey toward becoming a fully insight-driven and AI-enabled enterprise.
Requirements
- Malaysian citizen
- Passed the Malay Language subject, including the oral test, at the Sijil Pelajaran Malaysia (SPM) level or an equivalent qualification recognized by the Government
- Possess a Bachelor’s Degree in Computer Science, Data Science, Data Engineering, Information Systems, or equivalent qualification from accredited higher learning institutions
- At least 7 – 10 years of experience in data engineering and architecture, including 3+ years in a leadership or architectural role
- Strong hands-on experience in data warehouse platform (IBM NPS) with ETL/ELT frameworks (e.g. IBM DataStage, Informatica, Talend), orchestration tools (e.g. Airflow), and data integration platforms
- Demonstrated expertise in cloud platforms (AWS, Azure, or GCP) and modern data warehouse technologies (e.g. Snowflake, BigQuery, Redshift, Synapse)
- Proficiency in SQL, Python, and data modeling tools; experience with real-time data processing (e.g. Kafka, Spark) is a strong advantage
- Familiarity with data governance frameworks, metadata management, and data security policies
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