Responsibilities:

• Responsible for design and development  to contribute toward the success of our client strategic Data Modeling initiatives.
• Report to Data Analytics Manager (SVP) and work closely with the Data Owner, Data office, IT and agile transformation team on both tactical and strategic enterprise-level banking data design and implementation.
• Will be part of a high performing team to design data model, architect and drive the delivery of modern data solutions.
• Partner with business users on requirements gathering, system design and implementation.
• Focuses on bank-wide data modeling and database design (Conceptual, Logical and Physical Design) using traditional and advance data approach.
• Defines data/information architecture standards, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.
• Advises on consistent business analysis, data acquisition, and access analysis and design, Data Management Systems optimization, load strategy design and implementation, as well as data-related security and change management.
• Collaborates with Engineering and ETL teams on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.
• Develops a metadata management and repository strategy to manage all enterprise information architecture project artifacts.
• Ensure the to-be model is inclusive of integration of data across systems, collection, storage, processing, management, governance and analysis of data.
• Work closely with Business application teams , business analyst, data analyst and database administrators and reporting team to ensure  solution meets business requirements.
• Experience with data modelling tools such as Erwin (mandatory), Magic Draw (good to have).
• Expertise in RDBMS, Warehouses, Bigdata ( Hive) 

Basic Qualifications:

• Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science)
• 5+ years of IT experience with good communication skills and having knowledge in banking domain, specifically in Finance, Risk, banking card  & retail business.
• Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.
• Display intellectual curiosity and integrity.
• Good to have knowledge in cloud database like Snowflake, Redshift.
• Having knowledge of any Industry reference model.(good to have)