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    Data Architect - United Kingdom - The Consultancy Group (London)

    The Consultancy Group (London)
    The Consultancy Group (London) United Kingdom

    2 weeks ago

    Default job background
    Description
    The Consultancy Groups Data Transformation workstream are currently supporting a global Technology business on their SAP S4 Hana programme.

    We are now seeking a Data Architect with experience of Mulesoft, SAP and Salesforce to lead data architecture design for the customer master migration project, including conceptual and logical models.

    £85 - £95 per hour

    with business process owners and internal customers to define the CI data architecture.
    to the enterprise data model by identifying information concepts and their corresponding attributes within the integration team.
    data architecture design for the customer master migration project, including conceptual and logical models.
    a global governance process for managing customer data flow across different systems.
    closely with program data leads and cutover managers to plan and design data deployment processes.
    data architecture with application/system architecture in collaboration with technical architects and external parties.
    data models and definitions are well-documented and understood by stakeholders.
    data governance frameworks for transactional, master, and analytical data.
    an up-to-date repository of data models, definitions, and integrations.

    degree in Computer Science, Electronics, Information Systems, Business Administration, or related field.
    experience in data mapping/modelling and data migration.
    with creating data models (conceptual, logical, and physical) focused on Salesforce and SAP.
    in data migration projects related to SAP and/or Salesforce.
    to integration projects with Mulesoft is desirable.
    understanding of data architecture, quality, governance, and security best practices.
    skills and ability to assess risks with incomplete information.
    across different organizational levels and cultures.
    with data in low/no-code platforms.
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