About the position
The Technology Data Architect designs and governs enterprise-grade Azure data platforms, delivering secure, scalable, and high-performance solutions aligned to business and regulatory needs. The role drives data modernization, analytics, automation, and integration, reporting to the Enterprise Solutions Architect.
Qualifications
- Relevant 3–4 year IT or Business qualification (BCom, BSc, or equivalent)
- Relevant Microsoft/Azure certifications advantageous
Experience
- 7+ years enterprise data architecture experience
- Proven delivery of large-scale data platforms (cloud and hybrid)
- 5+ years insurance industry experience
Strong expertise in:
- Azure data services (SQL, Synapse, Cosmos DB, Data Lake, Data Factory)
- Data modeling (dimensional, star/snowflake schemas, semantic layers)
- Data governance, MDM, quality, and observability frameworks
- Power BI and automation tools
- Cloud security and compliance (POPIA, GDPR)
- DevOps, CI/CD, Infrastructure-as-Code
Duties & Responsibilities
- Design and implement Azure-based data solutions (Azure SQL, Synapse, Cosmos DB, Data Lake, Databricks, Dataverse).
- Ensure performance, resilience, cost optimization, and security.
- Establish conceptual, logical, and physical data models aligned to business domains.
- Transform legacy systems into cloud-native architectures.
- Oversee migration strategies, schema conversion, data mapping, and validation.
- Promote adoption of modern analytics and data services.
- Define and enforce standards for data lifecycle management.
- Ensure compliance with POPIA, GDPR, and internal governance frameworks.
- Support metadata management, lineage tracking, cataloging, and sensitive data monitoring.
- Provide architectural guidance for data-driven applications.
- Enable integration across Microsoft 365, Power Platform, and Dynamics 365.
- Implement CI/CD, Infrastructure-as-Code (Terraform), and automated data pipelines (ADF, Power Automate).
- Implement data quality frameworks and monitoring standards.
- Leverage Azure Monitor, Purview, and related tools to ensure lineage, reliability, and performance.
Desired Skills:
- Data Modelling
- Databricks
- Data Quality
- Large Volume / Multi Data Lake Structures
- Azure
Desired Qualification Level:
About The Employer: