Cloud Data Platform Support Engineer at Hire Resolve

Job Description

• A leading South African-based financial technology (FinTech) and data analytics company that specializes in providing verified, real-time consumer and business data to its clients is looking for a Cloud Data Platform Support Engineer to join their team remotely.
• This role will play a critical role in ensuring the stability, reliability, and efficiency of our data platform hosted in Microsoft Azure, with a future vision to extend into other cloud environments. This role is primarily focused on incident response, technical support, and platform reliability, while also contributing to proactive improvements such as monitoring, automation, and performance optimization. The Cloud Data Platform Support Engineer will work closely with Full Stack Support Engineers in squad structures but report into the Data Engineering function, bridging support between application and data workloads.

Key Responsibilities:

• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Engineering, or a closely related field.

Required Experience

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

Required Skills

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.