Enterprise Data Modeller at Capitec Bank

Purpose Statement

• To enable data as an asset; translating business intent into concrete blueprints for the data environment and for Data Engineers to build on.
• To enable staff to meet the business objectives through the ongoing enhancement & maintenance of the enterprise data model.
• To design and maintain optimal data models/structures at both an enterprise level as well as conceptual, logical & physical levels which meet the business and architectural objectives of Capitec.
• To govern the enterprise data model.

Experience

Minimum:

• 8 years+ data experience that includes 5 years in Data Modelling discipline
• 3 years Data Modelling experience in financial sector
• Deep understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
• Proven analytical and problem-solving experience in a complex data environment

Ideal:

• Experience with generic financial industry data models 
• Exposure to graph data models
• Relevant industry experience i.e. financial services or retail.
• Regulatory knowledge in respect of data management

Qualifications (Minimum)

• Diploma in Information Technology - Computer Science or Information Management

Qualifications (Ideal or Preferred)

• Bachelor's Degree in Information Technology - Computer Science or Information Management

Knowledge

Minimum:

• Data Management Domain Knowledge
• Knowledge of database concepts, objects and data modelling techniques and design principles.
• Experience in wide range of data modelling techniques, such as Entity Relationship Modelling, Olap, Third normal form (Data normalisation), Dimensional modelling
• Data warehousing, BI tools and technologies as well as the optimization of underlying databases
• Data Quality
• Master Data Management
• Metadata
• Expert knowledge of data modeling principles/methods including conceptual, logical & physical Data Models 
• Data modelling patterns e.g. party role
• Understanding financial services concepts
• IT or Data Governance experience
• Banking and financial services environment.

Ideal:

• Data Modelling tools e.g. Sparx Enterprise Architect,Erwin & SAP Power Designer, ER/Studio or IBM data architect
• Data Integration
• Knowledge of the entire process behind software development including design and deployment
• Knowledge of Canonical Data Modelling
• How to clearly communicate complex technical ideas, regardless of the technical capacity of the audience 

Skills

• Analytical Skills
• Attention to Detail
• Problem solving skills
• Facilitation Skills
• Presentation Skills

Conditions of Employment

• Clear criminal and credit record