Information Architect - Business Solutions

Deloitte Consulting is currently recruiting for an Information Architect who can join our client team on an initial 6 month project.

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

You will collaborate with business analysts, data engineers, and stakeholders to ensure data is well-organized, accessible, and aligned with business needs.

KEY RESPONSIBILITIES:

• Data Modeling:
• Design conceptual, logical, and physical data models to support business and analytics needs.
• Define data objects, attributes, relationships, and hierarchies for structured and unstructured data.
• Develop dimensional models for data warehouses, ensuring efficient querying and reporting.
• Establish data governance standards, ensuring data integrity, normalization, and consistency.
• Work closely with data engineers to translate models into physical databases.
• Information Architecture:
• Organize and structure data assets to ensure easy access, discoverability, and usability.
• Design metadata, taxonomies, and categorization frameworks for business users and analysts.
• Improve data flow and accessibility by defining data management best practices.
• Collaborate with UX designers and business teams to optimize information presentation.
• Ensure compliance with data privacy and security standards (Popia, etc.).

JOB INCUMBENT REQUIREMENTS:

• 5+ years of experience in data modeling, information architecture, or a related field.
• Expertise in SQL, NoSQL, and data modeling tools .
• Experience with cloud-based data architectures.
• Knowledge of machine learning pipelines and AI-driven data structuring.
• Understanding of data visualization best practices for self-service analytics.
• Strong understanding of relational databases, dimensional modeling, and data warehousing.
• Experience working with data lakes, ETL processes, and big data platforms (e.g., GCP).
• Knowledge of metadata management, taxonomies, and business glossaries.
• Ability to translate business requirements into scalable data architectures.
• Familiarity with data governance frameworks and best practices.
• Competencies: Organizational sensitivity, Structuring, Listening skills, Directing, Innovating, Analyzing and forming opinions., Decisiveness