Cloud Data Platform Support Engineer at Hire Resolve

Role Overview

• The Cloud Data Platform Support Engineer is responsible for ensuring the reliability, performance, and stability of a cloud-hosted data platform built primarily on Microsoft Azure, with plans to expand into additional cloud environments.
• This role focuses on incident response, technical support, performance troubleshooting, reliability engineering, and contributing to platform improvements such as automation, monitoring, and optimization.
• You will collaborate closely with Full Stack Support Engineers in squad-based structures, while formally reporting into the Data Engineering function.

Key Responsibilities

• Provide technical support for cloud-based data platforms in Microsoft Azure, including data warehouses, data pipelines, distributed compute workloads, and related services.
• Respond to and resolve production incidents related to performance, system stability, and data integrity.
• Conduct root cause analysis and document findings for long-term issue prevention.
• Work collaboratively with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams during incident triage and resolution.
• Proactively monitor data pipelines and system health using cloud-native observability tools.
• Build and maintain automation tooling using Python, PowerShell, Bash, or similar scripting languages.
• Develop dashboards, alerts, and reporting frameworks to enhance visibility into platform performance.
• Recommend and, once approved, implement improvements that enhance resilience, performance, and reliability.
• Participate in structured incident post-mortems and contribute to continuous improvement initiatives.
• Create and maintain runbooks and troubleshooting guides to support faster resolution workflows.
• Be available occasionally for extended hours during major incidents or critical outages.
• Stay current with advancements in Azure and general cloud technologies such as Kubernetes, Databricks, Fabric, and distributed data processing tools.

Required Qualifications

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

Required Experience

• 3+ years in support engineering, cloud operations, or data engineering within a cloud environment (Azure preferred).
• Strong hands-on experience with cloud-based data platforms such as data warehouses, pipeline orchestration tools, and distributed compute engines.
• Proven ability to troubleshoot issues involving SQL, T-SQL, Python, and Spark workloads.
• Solid understanding of incident management practices, including escalation and post-incident prevention.
• Familiarity with cloud-native monitoring and observability tooling.
• Demonstrated ability to maintain high-availability, business-critical production systems with strong reliability and data quality standards.
• Excellent communication skills, with the ability to explain problem scenarios and solutions to both technical and non-technical stakeholders.

Required Skills

• Professional certifications in cloud data engineering, cloud administration, or cloud architecture (Azure preferred).
• Experience with containerization and orchestration (Kubernetes, Docker).
• Background working with scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Exposure to multiple cloud providers (AWS / GCP) is beneficial.
• Experience with CI/CD, infrastructure-as-code, and automated deployment pipelines.