Purpose of the Role:

• The Information Architect is responsible for defining and structuring how data is collected, organised, stored, and accessed across the business. This role works closely with data engineers, business analysts, UX teams, and other stakeholders to ensure data models and information structures support efficient data usage, governance, and reporting.

Key Responsibilities:

Data Modeling:

• Design conceptual, logical, and physical data models for enterprise data initiatives.
• Define data objects, relationships, attributes, and hierarchies for both structured and unstructured data.
• Develop dimensional models for data warehouses to support analytics and reporting.
• Collaborate with data engineers to translate data models into performant physical schemas.
• Apply data governance principles to ensure data integrity, normalisation, and consistency.

Information Architecture:

• Structure and organise data assets for accessibility, usability, and discoverability.
• Create and maintain metadata models, taxonomies, and categorisation systems.
• Define best practices for data lifecycle management, access, and flow.
• Partner with UX teams and business stakeholders to enhance the presentation and utility of information.
• Ensure alignment with compliance and regulatory standards such as PoPIA.

Experience and Skills Requirements:

• 5+ years of experience in data modeling, information architecture, or a closely related field.
• Strong background in SQL, NoSQL, and use of modern data modeling tools.
• Experience designing for cloud-based data architectures (e.g., GCP, AWS, Azure).
• Familiarity with ETL pipelines, data lakes, and big data platforms.
• Understanding of machine learning pipelines and AI-based data structuring is advantageous.
• Knowledge of data warehousing concepts, including dimensional modeling and star/snowflake schemas.
• Experience with metadata management, business glossaries, and taxonomy design.
• Proven ability to translate business requirements into scalable, maintainable data models and architectures.
• Sound understanding of data governance frameworks, including data security and privacy regulations.

Soft Skills & Competencies:

• Strong analytical thinking and problem-solving skills
• High attention to structure and detail
• Ability to navigate and influence within complex organisational environments
• Effective listening, communication, and collaboration skills
• Innovative mindset with the ability to form and defend opinions based on data
• Decisive and results-driven in approach
• Adaptable and open to evolving technologies and methodologies