Data Platform & Analytics Lead

Datonomy Solutions; Umhlanga Rocks; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Datonomy Solutions is seeking a Data Engineering & Analytics lead to steward the organisation's data strategy, engineering function, and reporting capability. You will ensure reliable, scalable data solutions that support executive decision-making and operational efficiency across on-prem and cloud environments.

You will lead a data team, align initiatives with business goals, manage cloud costs, govern data quality, and drive architectural standards such as lakehouse or warehouse models,

Qualifications

• Extensive experience leading data engineering, BI, and data warehousing.
• Advanced SQL skills and hands-on with modern data platforms (e.g., Microsoft Fabric, Azure).
• Experience building and managing ETL/ELT pipelines.
• Strong understanding of data architecture principles and best practices.
• Knowledge of cloud cost management and optimisation.
• Proven leadership, communication, and stakeholder management skills.

Responsibilities

• Oversee data & reporting management across the organisation to ensure accuracy and usability.
• Design, build, and maintain robust data pipelines across on-premise and cloud environments.
• Provide technical direction and mentorship to the data team in coordination with the CIO.
• Define and maintain the organisation's data architecture and strategy (lakehouse, warehouse, hybrid).
• Monitor and optimise cloud compute and storage costs while ensuring scalability and reliability.
• Establish and enforce data governance frameworks, standards, and policies to ensure data quality and security.
• Support database administration tasks for stability of on-premise and cloud databases.

Skills

Data engineering

BI

Data warehousing

SQL

Microsoft Fabric

Azure

SQL Server

Job description

Datonomy Solutions is seeking a Data Engineering & Analytics lead to steward the organisation's data strategy, engineering function, and reporting capability. You will ensure reliable, scalable data solutions that support executive decision-making and operational efficiency across on-prem and cloud environments.

You will lead a data team, align initiatives with business goals, manage cloud costs, govern data quality, and drive architectural standards such as lakehouse or warehouse models,