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    Data Architect - Kuala Lumpur, Malaysia - Optimum Solutions (Singapore) Pte Ltd

    Optimum Solutions (Singapore) Pte Ltd
    Optimum Solutions (Singapore) Pte Ltd Kuala Lumpur, Malaysia

    1 week ago

    Default job background
    Part time Accounting / Finance
    Description


    Data Modeling and Architecture:

    o Design and develop data models that support the creation of a comprehensive SCV, considering data
    sources, data flow, and data transformations.
    o Collaborate with data engineers to implement scalable and efficient data architectures for the SCV
    project.



    Domain Expertise:


    o Leverage your deep knowledge of the financial industry to ensure that the SCV solution aligns with
    industry-specific regulations, standards, and best practices.
    o Provide insights into financial data nuances and requirements to guide data modeling decisions.



    Requirements Analysis:


    o Work closely with business stakeholders to understand and document data requirements specific
    to financial institutions.
    o Translate business needs into technical specifications and data modeling strategies.



    Data Quality and Governance:

    o Implement data quality measures and governance processes to maintain the accuracy and consistency of customer data within the SCV.

    o Ensure compliance with relevant data privacy and security regulations.



    Testing and Validation:


    o Define and execute data validation and testing procedures to ensure the integrity of the SCV data
    model.
    o Troubleshoot and resolve data modeling issues in a timely manner.



    Documentation:


    o Maintain comprehensive documentation of data models, architecture, and data mapping for the SCV
    solution.
    o Provide training and guidance to end-users on datarelated aspects of the project.



    Continuous Improvement:


    o Stay updated on emerging trends and technologies in data modeling, financial data, and data management.
    o Identify opportunities for process optimization and efficiency improvements.

    Skills:


    • Bachelor's degree in Data Science, Computer Science, any related field. Master's degree preferred.
    • Proven experience as a Data Modeler or Domain Expert in the financial industry, with a focus on SCV or similar data projects.
    • Expertise in data modeling tools and techniques, including conceptual, logical, and physical data modeling.
    • In-depth knowledge of financial industry data, regulations (e.g., Basel III, Dodd-Frank), and compliance standards (e.g., KYC, AML).
    • Proficiency in SQL, Python, data modeling, and database management systems.
    • Strong analytical and problem-solving skills with a keen attention to detail.
    • Excellent communication and interpersonal skills to effectively convey complex technical concepts to non-technical stakeholders.
    • Project management experience and familiarity with project management methodologies (e.g., Agile, Waterfall).
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