A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).

 Responsibilities: 

• Incident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.

• Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.

• Monitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.

• Automation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.

• Platform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.

• Collaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.

• Knowledge Base: Write, maintain, and share runbooks and troubleshooting guides.

• On-Call: Be available for extended working hours during critical outage events.

Minimum Requirements:

• Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a closely related field.

• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).

• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).

• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.

• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.

• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.

• Monitoring: Familiarity with cloud-native monitoring and observability tools.

• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).

• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.

• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

View Job  Johannesburg: Finance Manager posted by Hire Resolve

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za

A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).

 Responsibilities: 

• Incident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.

• Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.

• Monitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.

• Automation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.

• Platform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.

• Collaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.

• Knowledge Base: Write, maintain, and share runbooks and troubleshooting guides.

• On-Call: Be available for extended working hours during critical outage events.

Minimum Requirements:

• Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a closely related field.

• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).

• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).

• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.

• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.

• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.

• Monitoring: Familiarity with cloud-native monitoring and observability tools.

• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).

• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.

• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

View Job  Cape Town Region: QUARRY MANAGER (MALMESBURY AREA) posted by MPRTC Recruitment

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za

A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).

 Responsibilities: 

• Incident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.

• Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.

• Monitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.

• Automation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.

• Platform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.

• Collaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.

• Knowledge Base: Write, maintain, and share runbooks and troubleshooting guides.

• On-Call: Be available for extended working hours during critical outage events.

Minimum Requirements:

• Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a closely related field.

• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).

• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).

• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.

• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.

• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.

• Monitoring: Familiarity with cloud-native monitoring and observability tools.

• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).

• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.

• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za

A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).

 Responsibilities: 

• Incident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.

• Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.

• Monitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.

• Automation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.

• Platform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.

• Collaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.

• Knowledge Base: Write, maintain, and share runbooks and troubleshooting guides.

• On-Call: Be available for extended working hours during critical outage events.

Minimum Requirements:

• Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a closely related field.

• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).

• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).

• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.

• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.

• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.

• Monitoring: Familiarity with cloud-native monitoring and observability tools.

• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).

• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.

• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za

A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).

 Responsibilities: 

• Incident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.

• Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.

• Monitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.

• Automation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.

• Platform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.

• Collaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.

• Knowledge Base: Write, maintain, and share runbooks and troubleshooting guides.

• On-Call: Be available for extended working hours during critical outage events.

Minimum Requirements:

• Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a closely related field.

• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).

• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).

• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.

• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.

• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.

• Monitoring: Familiarity with cloud-native monitoring and observability tools.

• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).

• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.

• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za

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

• Bachelors 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.

Why Youll Love Working Here

• Flexible Working Options: Choose remote or hybrid based on your lifestyle.
• Comprehensive Benefits: Wellness programs, home-office support, and continuous learning opportunities.
• Supportive Team Culture: Regular socials, collaborative teams, and a transparent, inclusive work environment.
• Performance Incentives: Competitive salary structures, ESOP, and recognition programs for strong performers.

 

Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: *****@*****.co.za
We will contact you telephonically in 3 days should you be suitable for this vacancy.

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

• Bachelors 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.

Why Youll Love Working Here

• Flexible Working Options: Choose remote or hybrid based on your lifestyle.
• Comprehensive Benefits: Wellness programs, home-office support, and continuous learning opportunities.
• Supportive Team Culture: Regular socials, collaborative teams, and a transparent, inclusive work environment.
• Performance Incentives: Competitive salary structures, ESOP, and recognition programs for strong performers.

 

Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: *****@*****.co.za
We will contact you telephonically in 3 days should you be suitable for this vacancy.

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

• Bachelors 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.

Why Youll Love Working Here

• Flexible Working Options: Choose remote or hybrid based on your lifestyle.
• Comprehensive Benefits: Wellness programs, home-office support, and continuous learning opportunities.
• Supportive Team Culture: Regular socials, collaborative teams, and a transparent, inclusive work environment.
• Performance Incentives: Competitive salary structures, ESOP, and recognition programs for strong performers.

 

Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: *****@*****.co.za
We will contact you telephonically in 3 days should you be suitable for this vacancy.

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

• Bachelors 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.

Why Youll Love Working Here

• Flexible Working Options: Choose remote or hybrid based on your lifestyle.
• Comprehensive Benefits: Wellness programs, home-office support, and continuous learning opportunities.
• Supportive Team Culture: Regular socials, collaborative teams, and a transparent, inclusive work environment.
• Performance Incentives: Competitive salary structures, ESOP, and recognition programs for strong performers.

 

Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: *****@*****.co.za
We will contact you telephonically in 3 days should you be suitable for this vacancy.

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

• Bachelors 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.

Why Youll Love Working Here

• Flexible Working Options: Choose remote or hybrid based on your lifestyle.
• Comprehensive Benefits: Wellness programs, home-office support, and continuous learning opportunities.
• Supportive Team Culture: Regular socials, collaborative teams, and a transparent, inclusive work environment.
• Performance Incentives: Competitive salary structures, ESOP, and recognition programs for strong performers.

 

Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: *****@*****.co.za
We will contact you telephonically in 3 days should you be suitable for this vacancy.