Senior Data Architect

Mandatory Requirements:

The mandatory requirements for this position are:

  • Seven (7) – fifteen (15) years of data architect experience
  • Relevant qualification
  • Experience in at least two (2) of the following areas, but with knowledge of all:
    • Data architectural design and implementation
    • Data governance
    • Data modelling
    • Data integration

Qualifications and Experience:

The qualifications and experience related to this position are:

  • Appropriate and recognised formal computer science and / or data architect related qualification; and
  • Experience of seven (7) – fifteen (15) years within a data architect role.
  • Technology Stack – Oracle.

Responsibilities and Job Function:

The successful candidate will be required to:

  • Design and implement data architecture strategies
  • Design and implement a data governance framework that covers roles, policies, standards, data dictionary / metadata, data quality, data mapping / lineage, data security and data stewardship
  • Design and implement a data integration framework between systems inside and outside of the organisation
  • Manage the objectives of the data requirements
  • Manage and oversee the coordination with the data champions to identify future needs and requirements
  • Manage the collaboration with business and information technology when implementing a data strategy
  • Manage the development and review the conceptual and physical data models with data flow diagrams

Knowledge and Skills:

The general skills required for this position are:

  • Proficient in Microsoft Office suite
  • Excellent written and facilitation skills
  • Ability to work independently in a fast-paced, quickly changing and sometimes unstructured environment

The technical skills required for this position are:

  • Comprehensive experience in gathering and analysing data related requirements;
  • Pronounced ability in conceptual and physical data modelling;
  • Solid understanding of data architecture design and implementation (data warehouse, data lake and big data);
  • Comprehensive knowledge to develop data governance framework (policies, rules and standards)
  • Solid understanding of data modelling (dimensional and/or normal form)
  • Solid understanding of data integration and data integration tools
  • Solid knowledge of data reporting and visualisation tools


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