Data Modeller

3 weeks ago


Sandton, South Africa Datonomy Solutions Full time

Design data models that meet the business requirements and align to the agreed architecture framework.

Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders.

Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards

Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts.

Translate business requirements into data requirements.

Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data.

Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models and UML class models to ensure optimal implementation.

Compile Source to Target Mapping Specifications including the appropriate Transformation Rules

Identifying definitive or authoritative source of data; analysing source data; and identifying gaps to target structures

Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model.

Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces.

Reduce non value adding work by identifying opportunity for re-use of the Enterprise Data Model

Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.

Contribute to the creation of a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.

Perform peer review on work performed by other team members

Identify opportunities to improve or enhance processes

Provide Overall Data Management Guidance and alignment to Data Management framework and standards

Seek opportunities to improve business processes, models and systems through agile thinking.

Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage
Experience using Infosphere Data Architect or any other Data Modelling Tool Experience with industry models such as IFW BFMDW
Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
Relevant regulatory knowledge, and understanding of banking and financial services
Experience in NOSql and other forms of database modelling advantageous


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