Data Modeller

SUMMARY:
The Role:

Our client,  one of the leaders in the banking sector is looking for a Data Modeller for a short term contract role, must be available immediately.

• Must be able to design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of...
  
  

  POSITION INFO:
  The Role:

  Our client,  one of the leaders in the banking sector is looking for a Data Modeller for a short term contract role, must be available immediately.

  • Must be able 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
  • Create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked
  • 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
    
    
  • Advanced Diplomas/National 1st Degrees/equivalent NQF level 6 qualification
  • Bachelor of Commerce , Bachelor of Science: Information Systems / Computer Science Honours level
  • TOGAF, DAMA

   

  Skills and Experience:
  • Data Governance - Basic
  • Data Architecture Management - Basic
  • Data Integration - Basic
  • Industry Model Understanding - Advanced
  • Pattern Recognition, conceptual and abstract thinking - Advanced
  • Agile Concepts
  • Banking Product Knowledge
  • DevOps Tooling and methodologies
  • Presenting - Advanced
  • Problem solving and creativity - Advanced
  • Language skills â?? Advanced
  • Data analysis and inference - Advanced
  • Data Integrity - Advanced
  • Data Modelling - Advanced
  • Data Warehouse Layers - Advanced
  • Metadata - Advanced
  • Data Quality - Advanced
  • Data Warehousing Overview and Architecture - Advanced
  • Database Model Concepts - Advanced
  • Using SQL in Databases - Intermediate
  • Data and business requirements Gathering - Advanced
  • Data Modelling Tools - Advanced
  • Master and Reference Data Management - Basic
  Key Accountabilities:
  • 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 organization 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
  • Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; 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 date 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 companies 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
  • Contribute to the organization Culture building initiatives (e.g. staff surveys etc.).
  • Participate and support corporate responsibility initiatives for the achievement of business strategy
  Personality and Attributes:
  • 3yrs IT related experience with 2yrs+ 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
  • Exprience 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
  
  
  

   

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