Data Architect at Clicks Group

Key Responsibilities:

• Assess business needs and align operational plans with business objectives.
• Develop and implement business intelligence security strategies and operational plans.
• Design and architect BI solutions, ensuring alignment with business objectives and data management best practices.
• Lead the design, development, and modification of data infrastructure to accelerate data analysis and reporting processes.
• Ensure data quality and consistency across Data solutions.
• Inform security measures to protect Data assets and ensure compliance with data protection regulations.
• Evaluate and incorporate emerging Data technologies and trends.
• Oversee the design of data integration processes and ETL workflows.
• Establish and maintain strong partnerships with key stakeholders.
• Manage vendor relationships to ensure alignment with business needs.
• Define and track key performance indicators (KPIs) for the data management unit.
• Develop and guide implementation of data management governance practices to ensure compliance with industry standards and regulatory requirements.

Minimum requirements

Qualifications:

• Minimum Required: Diploma in Information Studies, Information Technology, Systems Engineering, or an equivalent relevant qualification.
• Preferred: Degree in the above fields.

Experience:

• 10 years of experience in the IT environment, with 2 years or more in a senior technical lead role.
• Strong knowledge of Data Governance and Analysis, Intelligence/Data Analytics principles, tools, and best practices.
• Working knowledge of programming and statistical computer languages (Python, SQL, R etc.) and cutting-edge data quality management solutions.
• Strong knowledge of regulatory requirements such as Data Privacy and Protection of Personal Information Act (POPIA).
• Strong knowledge of Data Architecture approaches to Data Warehousing eg. Kimbal, DataLake, Lakehouse, Data Bricks etc
• Competent with approaches, platforms for big data use cases in the cloud.
• Competent with DevOps practices in Data development (MLOps advantageous).