Data Architect (24 Months)

SUMMARY:
We are recruiting for a Data Architect role, for a 24-month contract. The Data Architect will lead the design, development, and implementation of an enterprise-wide data architecture for the organisation.

POSITION INFO:

Key Responsibilities:

• Design and implement enterprise data architecture aligned with the organization’s business and IT strategy.
• Define data standards, models, and metadata management practices to ensure consistency across systems.
• Lead the development of conceptual, logical, and physical data models for both structured and unstructured data.
• Collaborate with data engineers, business analysts, and application architects to integrate data across legacy systems, cloud platforms, and third-party vendors.
• Develop and implement data governance policies, including data security, quality, classification, lineage, and retention.
• Ensure compliance with data protection legislation such as POPIA and other regulatory mandates.
• Identify opportunities for data consolidation, quality improvement, and master data management.
• Support analytics and reporting initiatives by ensuring data availability, accessibility, and integrity.
• Work with project managers and business units to ensure data architecture aligns with transformation goals, particularly in claims processing and financial reporting.
• Provide technical leadership and mentorship to data-focused team members.

Minimum Qualifications & Experience:

• Bachelor’s degree in computer science, Information Systems, Data Science, or a related field.
• Certification in Data Architecture or Enterprise Architecture (e.g., TOGAF, DAMA, CDMP, or AWS/Azure Data Architect certifications).
• 10+ years of experience in IT, with at least 6 years in a Data Architecture or Enterprise Data Management role.
• Experience with data integration tools (e.g., Informatica, Talend, Azure Data Factory, SSIS).
• Familiarity with data governance tools and frameworks (e.g., Collibra, IBM InfoSphere, Alation).
• Exposure to Agile or hybrid SDLC environment.
• Proven experience designing data architectures for complex enterprise systems and integrating across platforms (e.g., claims systems, ERP, CRM).

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