Data Modeler

PEP; South Africa; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A dynamic company in South Africa is seeking a skilled Data Modeler to bridge the gap between business data requirements and technical implementation. The successful candidate will design, structure, and optimize data models while collaborating with cross-functional teams. Responsibilities include establishing data governance standards and engaging with stakeholders to define modeling requirements.

Qualifications

• Proven experience as a Data Modeler or similar role, with a strong understanding of data modeling techniques.
• Experience with conceptual and logical data modeling, cloud-native architectures.
• Familiarity with data governance principles and best practices.

Responsibilities

• Translate business requirements into high-quality data models.
• Establish data governance standards to ensure data integrity.
• Engage with stakeholders to define modeling requirements.

Skills

Data modeling

Data governance

Stakeholder engagement

Documentation

Education

Bachelor's degree in Computer Science or related field

Job description

Overview

Join a dynamic, innovative company that values data as a strategic asset, where you\'ll collaborate with cross-functional teams at the intersection of business, data, and technology to drive data-driven decision-making.

Purpose of the Position

We seek a skilled Data Modeler to bridge the gap between business data requirements and technical implementation. This role will be responsible for designing, structuring, and optimizing data models that enable efficient storage, retrieval, and use of data across the organization. You will collaborate with business analysts, data engineers, and stakeholders to ensure data is well-organized, accessible, and aligned with business needs. As a Data Modeler, you will be responsible for implementing conceptual and logical data models that support cloud-native architectures.

Responsibilities

• Data Modeling and Design: Translate business requirements into high-quality data models. Shape how information flows and connects. Ensure information is technically integrated and contextually aligned with business decision-making needs. Develop and maintain enterprise reference models, taxonomies, and data designs. Define metadata, semantic layers, and information flow standards that enhance data quality, regulatory compliance and business usability across systems.
• Data Governance & Standards: Establish data governance standards, ensuring data integrity, normalization, and consistency. Collaborate with data governance teams to align models with enterprise standards. Document data models, relationship, and business rules.
• Collaboration & Stakeholder Engagement: Engage with business stakeholders to understand data needs and define modelling requirements. Translate strategic information needs into actionable design artifacts; create and maintain high-quality documentation and diagrams. Provide expertise on best practices for data modelling.