Senior Data Modeller

SUMMARY:
Senior Data Modeller

POSITION INFO:

Our client, a top employer to thousands of talented people is seeking a Senior Data Modeller to join their team in Durban on a contract basis. The company offers extensive growth opportunities as well as the opportunity to work with a creative and dynamic team.

Description

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.

Requirements

• 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 client 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 Client''s 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 client Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy

Education

• Advanced Diplomas/National 1st Degrees/equivalent NQF level 6 qualification
• Bachelor of Commerce , Bachelor of Science: Information Systems / Computer Science Honours level
• TOGAF, DAMA

Skill required

• 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 - 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 

Experience

• 5-8yrs 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 c

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