Location: Remote (South Africa) Employment Type: Full-Time Industry: Cloud Infrastructure | Data Engineering | Azure WatersEdge Solutions is seeking a technically astute Cloud Data Platform Support Engineer to support and optimise cloud-based data platforms for a high-growth data-driven business. If you’re passionate about performance tuning, incident resolution, and platform reliability, this is a chance to work in a cutting-edge environment that values proactive problem solving and automation. About the Role Reporting to the Data Engineering function and working alongside Full Stack Support Engineers, you’ll be responsible for keeping mission-critical systems running smoothly across Microsoft Azure environments. Your day-to-day will include responding to incidents, implementing automation scripts, and driving improvements in monitoring, observability, and system resilience. Key Responsibilities Provide technical support for Azure-hosted data platforms including warehouses, pipelines, and distributed computing services Resolve production incidents related to system performance, stability, and data reliability Perform root cause analysis and contribute to long-term system improvements Monitor system health and automate recurring tasks with Python, Bash, or PowerShell Develop and maintain real-time monitoring dashboards and alerts Collaborate with engineers and client-facing teams on technical issue resolution Implement runbooks, documentation, and contribute to continuous improvement initiatives Stay current with emerging tools in Azure, Kubernetes, Databricks, and cloud-native ecosystems What You’ll Bring 3 years’ experience in cloud support, cloud operations, or data engineering Strong hands-on experience with Microsoft Azure and cloud-native data platforms Solid scripting skills in Python, Bash, or PowerShell Deep understanding of SQL, T-SQL, Spark, and incident management best practices Familiarity with observability tools and monitoring frameworks Ability to support production systems with high standards for uptime and data quality Excellent communication skills across technical and non-technical stakeholders Degree in Computer Science, Information Systems, or Engineering Nice to Have Azure certifications in cloud engineering or architecture Experience with Databricks, Microsoft Fabric, or Spark-based analytics platforms Knowledge of Kubernetes, Docker, or multi-cloud environments (AWS/GCP) Exposure to infrastructure-as-code (Terraform) and CI/CD pipelines What’s On Offer Remote-first flexibility with a collaborative culture Competitive salary and performance incentives Continuous learning opportunities and home office reimbursements Wellness initiatives, social events, and transparent team communication A high-impact role supporting scalable, data-driven technologies Company Culture At WatersEdge Solutions, we match top engineering talent with purpose-driven innovation. You’ll join a team that values autonomy, continuous improvement, and high performance—where every contribution matters and systems are built to scale securely and efficiently. If you have not been contacted within 10 working days, please consider your application unsuccessful.