Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Data Architect
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- Subject matter expertise in technologies (TD, HD, BDA, R, Python) and Data Management
- Understand and deliver data modeling requirements – physical and logical data modeling
- Drive data quality enhancements at scale to solve business problems in a prioritized manner
- Build and support data flow integration between different products increasing the capabilities of our product and expanding its use across the firm
- Ability to understand and deliver client requirements end to end for reference data and data lake aligned use cases
- Ensure proper risk management process is adhered too, to mitigate risk exposure for the firm
Hard Skills / Requirements
Technology Infrastructure (HW, SW & Applications hosted) Expertise
Ability to understand in depth how technology products are delivered as per requirementAdvanced understanding of reference data, data lake, and other information system solutionsExperience integrated multiple systems together to create an intelligent and resilient information system solutionAbility to use industry standard tools to create logical and physical data models for technology infrastructure and reference dataInformation System Design
Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methodsUnderstanding the right technical solution to represent the data appropriately to meet the client requirementExperience with performance tuning of information systems (e.g. streamlining ETLs to run faster)Data Quality Experience
Understanding the core concepts of data quality–how to measure improveUnderstanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectivelyFunctional Skills :
Must Have (Experience in any of the areas) :
Data Quality Score Cards, Data Management, Data GovernanceDashboards, Visualization Scorecards, SharepointGood to have (Experience in any of the areas) :
Data Warehousing (5 years)Big Data (4 years)Master Data Management, Reference Data Management (4 years)Worked as SI / Sa in Financial domain (6 years)Technical Skills :
Must Have (Certified in anyone of the below but should have multiple skillset) :
R, PythonHadoop-ClouderaETL / ELT Tools - Trillium, informatica (Any data Modelling or data profiling tools)Good to have (Experience in any of the following) :
Pig, MapReduce, Hive, HbaseBig Data Integration, Ingestation Framework (4 years)Data Lab, Data Lake (4 years)ITIL, TOGAF (any one)Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Banking
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