AVP Data Architect
AVP Data Architect
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Job Description
The main purpose of Data Architect is to oversee a companys various data systems. They are responsible for organizing storing and analyzing data as efficiently as possible while always upholding agreedupon security standards. As an experienced Information Architect professional your mission is to help lead our team of innovators and technologists toward creating nextlevel solutions that improve the way our business is run. Your deep knowledge of design analytics development coding testing and application programming will help your team raise their game meeting your standards as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems internally and externally. Your quest to embracing leadingedge technologies and methodologies inspires your team to follow suit.
Responsibilities of the Role
- Subject matter expertise in technologies (TD HD BDA R Phyton) 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
Perform impact analysis of new system integration. Work on impact analysis to reference data (domain/dimension; data elements/properties; base members/data sets; hierarchies) to ensure compliance with Data Governance principles.Manage critical relationships with consultants and vendors internal end users and business customers/leadership.
Understand & Interpret upstream and downstream data flow do data profiling data mapping and Check Data Quality from Source to Target. They play a gamut of roles from acquiring massive amounts of data to processing and summarizing it as per business need/demand. Using analysis software tools analyze extracted data identify patterns relationships or trends to answer datarelated questions posed by business or end users.
Hard Skills / Requirements
Technology Infrastructure (HW SW & Applications hosted) Expertise
- Ability to understand in depth how technology products are delivered as per requirement.
- Ability to understand what data needs to be collected and how it can be collected to meet the Maybank requirements.
Strong Data Architecture experience
Advanced understanding of reference data data lake and other information system solutions
- Experience integrated multiple systems together to create an intelligent and resilient information system solution
- Ability to use industry standard tools to create logical and physical data models for technology infrastructure and reference data
Information System Design
- Experience delivering or supporting information systems using extract translate load (ETL) and publishing methods
- Understanding the right technical solution to represent the data appropriately to meet the client requirement
- Experience with performance tuning of information systems (e.g. streamlining ETLs to run faster)
Data Quality Experience
- Understanding the core concepts of data qualityhow to measure improve
- Ability to analyze data for data quality gaps
- Understanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectively
Support development enhancement and maintenance of multiple datasets. Evaluate datasets for consistency completeness accuracy and reasonableness
Remote Work :
No
Employment Type
Full Time
