RESPONSIBILITIES: Design, build, and optimize data pipelines and architectures using Microsoft Azure
technologies to support analytics, machine learning, and data-driven decision-making. Collaborate with data scientists, BI specialists, data analysts, and ICT application teams to
deliver high-performance, scalable data solutions. Implement and manage ETL/ELT workflows in Azure Data Factory, Synapse Analytics,
Databricks, and related tools. Develop and maintain data lakes and data warehouses to support enterprise reporting and
analytics. Ensure data quality, security, and governance by implementing validation, monitoring, and
access control frameworks. Maintain documentation and ensure adherence to data architecture standards and
compliance requirements (e.g., POPIA, GDPR). Support automation and Dev Ops practices, including version control, CI/CD pipelines, and
infrastructure-as-code. Provide technical input in budget planning, tool procurement, and cost optimizati...