Data Architect - Kuala Lumpur, Malaysia - Bank Negara Malaysia

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    Full time Technology / Internet
    Description
    Job Title :
    Data Architect



    ROLE PURPOSE :

    Data Architect leads the design of data assets, data repositories, data lakes, databases,
    assessment and modelling with a focus on enterprise data deliverables. The Data Architect
    identifies the best approach for accessing various data sources for the most efficient and
    productive use within JDT and the Bank. The data architect is responsible for the conceptual
    and physical strategies for data acquisition, integration and analysis, and they devise
    strategies to integrate new technologies into an infrastructure that supports the digital
    strategy of the Bank.

    PRINCIPAL ACCOUNTABILITIES :


    • Develop data models and related architecture to provide analytical data at the appropriate level of detail in a manner that is efficient and based on the key business requirements of the Bank's stakeholders.
    • Review control and master data across multiple source applications and shadow systems to identify an approach to align attributes in a consistent manner that supports data repositories that can be leveraged by data retrieval methods
    • Design the architecture that supports peak data usage performance and efficient data retrieval.
    • Lead the development of a data architecture that accommodates current business requirements while offering a solution that is robust and scalable to accommodate future Bank requirements and data growth and data usage.
    • Assist with development and implementation of the long-term data governance strategy and work with the business departments to support the overall drive within BNM for the extensive use of data analytics.
    QUALIFICATION /


    EXPERIENCE :


    Academic qualifications:
    Degree or professional qualification in Science, IT or Economics.


    • Strong knowledge data quality, master data management, data governance, ETL tools.
    • 10 years of experience as a lead data modeller and developing, validating and maintaining logical & physical data models
    • Strong experience in EDW and BI
    TECHNICAL COMPETENCIES :


    • PHP,Java - Optional
    • SQL
    • EDWs – Teradata, Oracle
    • Hadoop, Apache Spark, Apache Storm, Google BigQuer
    • SAS
    LEADERSHIP COMPETENCIES :


    • Acts for the Greater Good
    • Integrated Thinking
    • Environmental Awareness
    • Holistic Collaboration
    • Engage and Influence Stakeholders
    • Organisational Understanding
    • Leveraging on Strategic Relationships
    • Empowerment with Accountability
    • Build Team Capability
    • Drive Performance Excellence
    • Executive Maturity
    • Self Confidence



    CRITICAL SUCCESS FACTORS :



    • Data visualisation experience highly regarded.
    • Ability to draw conclusions and inform management based on data captures.
    • Problem Solving and Decision Making
    • Excellent communicator
    • Knowledge of data architecture
    • Resource management and development.
    CHALLENGES :


    • Understanding the IT business and varying stakeholders' expectations of the digital strategy
    • Multi tasking with strict performance targets and timelines
    • High degree of integrity, accountability, flexibility and creativity
    • Regular interaction with DDs and Management