PBT Group has an opportunity for a Senior Data Modeller to design and maintain optimal data models / structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.
To create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked.
To create appropriate data and class structures that enable the flow of data between providers and consumers. Where required, lead a team of modellers performing this work.
The primary technology used is IDA (Infosphere Data Architect (Data Modelling Tool)) and Aginity Workbench DB2.
It will also be most beneficial to have knowledge of IGC (Infosphere Governance Catalogue).
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
Apply the approved tooling to create the data modelling deliverables.
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 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
seminars and conferences.
Assists to provide a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.
Advise stakeholders and other staff on application of data modelling practices through consultation.
Ensure consistency and re-use of data models by acting as a primary advocate of date modelling activities and methodologies and by driving the adoption of enterprise data modelling across the bank.
Ensure improved performance by providing feedback on improvements to the data modelling framework.
Perform review on work performed by team members as well as review and govern work performed by other modelling teams
Identify opportunities to improve or enhance processes.
Provide Overall Data Management Guidance and alignment to the Data Management framework and standards
Seek opportunities to improve business processes, models and systems though agile thinking.
Support the achievement of the business strategy, objectives and values
Participate and support corporate responsibility initiatives for the achievement of business strategy
Skills & Experience Required :
5 8 years IT related experience with 5yrs+ in a Data Modelling role
Able to demonstrate practical experience in relational and dimensional modelling techniques as well as leading teams of data modellers
Has demonstratable experience in developing custom data models as well as data modelling utilising Industry data models such as IFW BFMDW
Experience in model management
Experience in compiling and monitoring standards and developing / maturing a data modelling practice
OO modelling experience also an advantage
Experience using Infosphere Data Architect or any other Data Modelling Tool
Firm 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
Advanced knowledge of :
Industry Model Understanding
Pattern Recognition, conceptual and abstract thinking
Problem solving and creativity
Data analysis and inference
Data Modelling -
Data Warehouse Layers
Data Warehousing Overview and Architecture
Database Model Concepts
Data and business requirements Gathering
Data Modelling Tools
Intermediate knowledge of :
Using SQL in Databases
Banking Product Knowledge
Basic knowledge of : Data Governance
Data Architecture Management
DevOps Tooling and methodologies
Master and Reference Data Management
Qualifications / Certification :
Advanced Diplomas / National 1st Degrees / equivalent NQF level 6 qualification
Bachelor of Commerce, Bachelor of Science : Information Systems / Computer Science Honours level