Azure Cloud Engineer Jobs in Ohio
Azure Cloud Engineer jobs in Ohio are in strong and consistent demand, with hiring concentrated in financial services, healthcare IT, manufacturing technology, and defense contracting across entry-level through senior and principal levels. Columbus, Cleveland, and Cincinnati anchor the market, where employers like Nationwide, KeyBank, and Northrop Grumman maintain large technology workforces and recruit azure cloud engineers regularly. The most sought-after specialties in Ohio listings are cloud infrastructure automation, Azure DevOps, and cloud security architecture. Find a role that fits below and apply directly.
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The Azure Cloud Engineer – Data Platform will help design, build, automate, secure, and operate the Microsoft cloud services and integration components that move data across enterprise systems and into the enterprise data platform. This role bridges cloud platform engineering and data delivery, supporting both the Azure foundations and the managed Microsoft services that enable reliable data flows.
You will partner with data engineers, data architects, cybersecurity, infrastructure teams, application teams, and business stakeholders to implement secure connectivity, reusable ingestion and orchestration patterns, and supportable environments across Microsoft Azure and Microsoft Fabric. The role will configure and operate the platform capabilities used by data engineers while also building data-movement pipelines and integrations where Microsoft services managed are the appropriate solution.
You will apply cloud engineering, data integration, infrastructure-as-code, networking, identity, monitoring, and DevOps practices to ensure enterprise data workloads are deployed consistently and operated with high standards of availability, security, performance, cost efficiency, and supportability.
Essential duties and responsibilities:
- Help design, deploy, configure, and maintain Azure and Microsoft Fabric platform services supporting enterprise data ingestion, integration, storage, analytics, and reporting workloads.
- Provision and configure Microsoft data services, including Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Functions, Azure Key Vault, Azure Monitor, and Log Analytics.
- Build and support data-movement and orchestration pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Dataflows Gen2, and related managed Microsoft services.
- Configure and maintain connections, gateways, integration runtimes, linked services, managed private endpoints, triggers, schedules, and other components required for reliable data flows.
- Enable secure connectivity between Microsoft Fabric, Azure services, on-premises systems, enterprise applications, software-as-a-service platforms, databases, files, application programming interfaces, and external data providers.
- Use and contribute to reusable ingestion and integration patterns for common source types, including parameterized pipelines, connectors, configuration, error handling, retry, logging, and alerting.
- Partner with data engineers and data architects to translate data solution requirements into secure, scalable, and supportable platform configurations and integration workflows.
- Build and support development, testing, quality assurance, and production environments for data platform workloads and data integrations.
- Use and contribute to reusable infrastructure-as-code modules using Bicep, Terraform, ARM templates, or similar technologies.
- Develop and support continuous integration and continuous deployment processes for Azure resources, Microsoft Fabric items, pipelines, notebooks, and platform configuration using Azure DevOps or GitHub Actions.
- Automate resource provisioning, environment configuration, platform administration, pipeline deployment, monitoring, and operational support activities using established standards and patterns.
- Support the configuration of Azure networking components required by data workloads and partner with infrastructure teams on virtual networks, subnets, network security groups, private endpoints, private DNS, firewalls, gateways, and hybrid connectivity.
- Configure and support Microsoft Entra ID groups, role-based access control, managed identities, service principals, workload identities, and application registrations following established security standards.
- Implement secure management of credentials, secrets, certificates, and encryption keys using Azure Key Vault.
- Apply established Azure Policy, resource-lock, tagging, diagnostic-setting, security-baseline, and cloud-governance standards to data platform resources.
- Support Microsoft Fabric capacities, workspaces, gateways, connections, deployment pipelines, and environment-promotion practices.
- Monitor Azure services, Microsoft Fabric workloads, pipelines, gateways, connections, capacity utilization, data-flow health, and cost trends.
- Configure operational logging, dashboards, alerts, and notifications using Azure Monitor, Log Analytics, Application Insights, and Microsoft Fabric monitoring capabilities.
- Troubleshoot infrastructure, identity, networking, connectivity, deployment, pipeline, gateway, performance, capacity, and availability issues, escalating or partnering with specialized teams when appropriate.
- Participate in incident response, root-cause analysis, problem management, change management, backup, recovery, resiliency, and corrective-action planning for critical data platform services.
- Create and maintain platform architecture diagrams, integration diagrams, configuration standards, deployment documentation, operational procedures, recovery instructions, and support runbooks.
- Communicate professionally with technical and non-technical stakeholders at all levels within and outside of the organization.
Supervisory Responsibilities: None
Education and Experience:
- Bachelor’s degree or equivalent combination of education and experience.
- 3+ years of relevant experience in cloud engineering, data platform engineering, data integration, or a related field.
Qualifications:
- Ability to work independently and cooperatively to solve moderately complex cloud platform and data integration problems.
- Hands-on experience supporting Microsoft Azure services in a development, testing, or production environment.
- Hands-on experience building or supporting data-movement and orchestration pipelines with Microsoft Fabric Data Factory, Azure Data Factory, or a comparable integration service.
- Experience connecting two or more common source types, such as relational databases, files, application programming interfaces, software-as-a-service applications, cloud services, or on-premises systems.
- Experience configuring or supporting Microsoft Fabric or Azure data services such as Azure Data Factory, Azure Data Lake Storage, Azure SQL, Lakehouse, Warehouse, or OneLake.
- Working knowledge of Microsoft Entra ID, role-based access control, managed identities, service principals, application registrations, and Azure Key Vault.
- Working knowledge of cloud networking concepts such as DNS, routing, firewalls, network security groups, private endpoints, gateways, and hybrid connectivity.
- Familiarity with infrastructure-as-code technologies such as Bicep, Terraform, or ARM templates.
- Familiarity with Azure DevOps, GitHub Actions, or another continuous integration and continuous deployment platform.
- Experience using Git-based source control, branching, peer review, release management, and environment-promotion practices.
- Experience scripting or automating technical tasks using PowerShell, Azure CLI, Python, or similar languages.
- Experience monitoring and troubleshooting cloud services or data integrations using Azure Monitor, Log Analytics, Application Insights, Microsoft Fabric monitoring, or similar tools.
- Understanding data platform concepts, including ingestion, orchestration, data lakes, Lakehouse’s, warehouses, transformation, analytics, and reporting.
- Working knowledge of reliable integration patterns, including parameterization, scheduling, dependency management, error handling, logging, and alerting.
- Effective communication, documentation, collaboration, and problem-solving skills for working with technical and non-technical stakeholders in an agile environment.
Preferred:
- Experience administering Microsoft Fabric capacities, workspaces, gateways, connections, deployment pipelines, Lakehouse, Warehouse, or OneLake.
- Experience supporting production data platforms or integrations with defined availability, performance, backup, recovery, data-freshness, and support requirements.
- Experience with advanced hybrid networking, private connectivity, or cross-environment data integration.
- Experience with Microsoft Purview, Microsoft Defender for Cloud, Microsoft Sentinel, or related governance and security technologies.
- Familiarity with SQL, Python, PySpark, notebooks, or related data-processing technologies.
- Experience designing reusable infrastructure-as-code modules, integration frameworks, or deployment patterns.
- Microsoft Azure, Microsoft Fabric, DevOps, security, networking, or Terraform certifications.
Position Summary:
The Azure Cloud Engineer – Data Platform will help design, build, automate, secure, and operate the Microsoft cloud services and integration components that move data across enterprise systems and into the enterprise data platform. This role bridges cloud platform engineering and data delivery, supporting both the Azure foundations and the managed Microsoft services that enable reliable data flows.
You will partner with data engineers, data architects, cybersecurity, infrastructure teams, application teams, and business stakeholders to implement secure connectivity, reusable ingestion and orchestration patterns, and supportable environments across Microsoft Azure and Microsoft Fabric. The role will configure and operate the platform capabilities used by data engineers while also building data-movement pipelines and integrations where Microsoft services managed are the appropriate solution.
You will apply cloud engineering, data integration, infrastructure-as-code, networking, identity, monitoring, and DevOps practices to ensure enterprise data workloads are deployed consistently and operated with high standards of availability, security, performance, cost efficiency, and supportability.
Essential duties and responsibilities:
- Help design, deploy, configure, and maintain Azure and Microsoft Fabric platform services supporting enterprise data ingestion, integration, storage, analytics, and reporting workloads.
- Provision and configure Microsoft data services, including Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Functions, Azure Key Vault, Azure Monitor, and Log Analytics.
- Build and support data-movement and orchestration pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Dataflows Gen2, and related managed Microsoft services.
- Configure and maintain connections, gateways, integration runtimes, linked services, managed private endpoints, triggers, schedules, and other components required for reliable data flows.
- Enable secure connectivity between Microsoft Fabric, Azure services, on-premises systems, enterprise applications, software-as-a-service platforms, databases, files, application programming interfaces, and external data providers.
- Use and contribute to reusable ingestion and integration patterns for common source types, including parameterized pipelines, connectors, configuration, error handling, retry, logging, and alerting.
- Partner with data engineers and data architects to translate data solution requirements into secure, scalable, and supportable platform configurations and integration workflows.
- Build and support development, testing, quality assurance, and production environments for data platform workloads and data integrations.
- Use and contribute to reusable infrastructure-as-code modules using Bicep, Terraform, ARM templates, or similar technologies.
- Develop and support continuous integration and continuous deployment processes for Azure resources, Microsoft Fabric items, pipelines, notebooks, and platform configuration using Azure DevOps or GitHub Actions.
- Automate resource provisioning, environment configuration, platform administration, pipeline deployment, monitoring, and operational support activities using established standards and patterns.
- Support the configuration of Azure networking components required by data workloads and partner with infrastructure teams on virtual networks, subnets, network security groups, private endpoints, private DNS, firewalls, gateways, and hybrid connectivity.
- Configure and support Microsoft Entra ID groups, role-based access control, managed identities, service principals, workload identities, and application registrations following established security standards.
- Implement secure management of credentials, secrets, certificates, and encryption keys using Azure Key Vault.
- Apply established Azure Policy, resource-lock, tagging, diagnostic-setting, security-baseline, and cloud-governance standards to data platform resources.
- Support Microsoft Fabric capacities, workspaces, gateways, connections, deployment pipelines, and environment-promotion practices.
- Monitor Azure services, Microsoft Fabric workloads, pipelines, gateways, connections, capacity utilization, data-flow health, and cost trends.
- Configure operational logging, dashboards, alerts, and notifications using Azure Monitor, Log Analytics, Application Insights, and Microsoft Fabric monitoring capabilities.
- Troubleshoot infrastructure, identity, networking, connectivity, deployment, pipeline, gateway, performance, capacity, and availability issues, escalating or partnering with specialized teams when appropriate.
- Participate in incident response, root-cause analysis, problem management, change management, backup, recovery, resiliency, and corrective-action planning for critical data platform services.
- Create and maintain platform architecture diagrams, integration diagrams, configuration standards, deployment documentation, operational procedures, recovery instructions, and support runbooks.
- Communicate professionally with technical and non-technical stakeholders at all levels within and outside of the organization.
Supervisory Responsibilities: None
Education and Experience:
- Bachelor’s degree or equivalent combination of education and experience.
- 3+ years of relevant experience in cloud engineering, data platform engineering, data integration, or a related field.
Qualifications:
- Ability to work independently and cooperatively to solve moderately complex cloud platform and data integration problems.
- Hands-on experience supporting Microsoft Azure services in a development, testing, or production environment.
- Hands-on experience building or supporting data-movement and orchestration pipelines with Microsoft Fabric Data Factory, Azure Data Factory, or a comparable integration service.
- Experience connecting two or more common source types, such as relational databases, files, application programming interfaces, software-as-a-service applications, cloud services, or on-premises systems.
- Experience configuring or supporting Microsoft Fabric or Azure data services such as Azure Data Factory, Azure Data Lake Storage, Azure SQL, Lakehouse, Warehouse, or OneLake.
- Working knowledge of Microsoft Entra ID, role-based access control, managed identities, service principals, application registrations, and Azure Key Vault.
- Working knowledge of cloud networking concepts such as DNS, routing, firewalls, network security groups, private endpoints, gateways, and hybrid connectivity.
- Familiarity with infrastructure-as-code technologies such as Bicep, Terraform, or ARM templates.
- Familiarity with Azure DevOps, GitHub Actions, or another continuous integration and continuous deployment platform.
- Experience using Git-based source control, branching, peer review, release management, and environment-promotion practices.
- Experience scripting or automating technical tasks using PowerShell, Azure CLI, Python, or similar languages.
- Experience monitoring and troubleshooting cloud services or data integrations using Azure Monitor, Log Analytics, Application Insights, Microsoft Fabric monitoring, or similar tools.
- Understanding data platform concepts, including ingestion, orchestration, data lakes, Lakehouse’s, warehouses, transformation, analytics, and reporting.
- Working knowledge of reliable integration patterns, including parameterization, scheduling, dependency management, error handling, logging, and alerting.
- Effective communication, documentation, collaboration, and problem-solving skills for working with technical and non-technical stakeholders in an agile environment.
Preferred:
- Experience administering Microsoft Fabric capacities, workspaces, gateways, connections, deployment pipelines, Lakehouse, Warehouse, or OneLake.
- Experience supporting production data platforms or integrations with defined availability, performance, backup, recovery, data-freshness, and support requirements.
- Experience with advanced hybrid networking, private connectivity, or cross-environment data integration.
- Experience with Microsoft Purview, Microsoft Defender for Cloud, Microsoft Sentinel, or related governance and security technologies.
- Familiarity with SQL, Python, PySpark, notebooks, or related data-processing technologies.
- Experience designing reusable infrastructure-as-code modules, integration frameworks, or deployment patterns.
- Microsoft Azure, Microsoft Fabric, DevOps, security, networking, or Terraform certifications.
See All 5 Azure Cloud Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Azure Cloud Engineer JobsAzure Cloud Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Azure Cloud Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Transportation & Logistics
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in azure cloud engineer jobs across Ohio.
- Bachelor's degree in computer science, information technology, or a closely related field
- Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert credential
- Hands-on experience with Azure infrastructure services including virtual networks, storage, and compute
- Proficiency with infrastructure-as-code tools such as Terraform or Azure Bicep
- Experience supporting CI/CD pipelines using Azure DevOps or equivalent tooling
- Familiarity with cloud security frameworks and compliance requirements common in regulated Ohio industries
Azure Cloud Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a azure cloud engineer in Ohio?
Ohio has no state-issued license for azure cloud engineers, so entry into the field follows a credential and experience path. Most Ohio employers expect a bachelor's degree in computer science, information technology, or a related discipline, paired with a Microsoft Azure certification such as the AZ-104 Administrator Associate or AZ-305 Solutions Architect. Building hands-on project experience through labs, open-source contributions, or internships at Ohio's large financial or healthcare technology employers is the most direct route to a first role.
How much do azure cloud engineers make in Ohio?
Azure cloud engineers in Ohio earn a median of about $114,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,790 for the lowest 10% to over $168,400 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire azure cloud engineers in Ohio?
Employers hiring azure cloud engineers in Ohio right now include Castalia Systems, Penske Truck Leasing, and Highlights for Children, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of financial services headquarters, major health systems, and defense contractors creates steady recurring demand across the state.
Which Ohio cities have the most azure cloud engineer jobs?
Columbus, Dayton, and Beachwood have the most azure cloud engineer openings in Ohio. Columbus leads because it is home to major financial services and insurance headquarters alongside a growing tech sector, while Cleveland and Cincinnati contribute significant volume through their health system networks, regional banks, and advanced manufacturing technology divisions.
Are there remote azure cloud engineer jobs in Ohio?
Yes, and more than most fields. Cloud engineering is inherently digital work, which makes remote and hybrid arrangements common across the industry. About 0% of azure cloud engineer openings tied to Ohio are remote or hybrid as of September 2026, reflecting how widely distributed cloud infrastructure teams have become. Roles focused on architecture design, automation scripting, and monitoring tend to be the most consistently remote, while positions requiring on-site data center access lean toward hybrid schedules.
How can I get hired as a azure cloud engineer in Ohio with little or no experience?
The most realistic entry path is earning an entry-level Microsoft Azure certification, such as the AZ-900 Fundamentals followed by AZ-104, and applying for cloud support engineer or junior cloud operations roles. Ohio's large health systems, financial institutions, and defense contractors frequently hire associates or IT operations analysts who demonstrate Azure familiarity and promote them into cloud engineering tracks. Completing a structured home lab project or contributing to a cloud migration as part of an IT helpdesk or infrastructure support role gives candidates the portfolio evidence Ohio hiring managers look for.
Where can I find and apply to azure cloud engineer jobs in Ohio?
You can find and apply to azure cloud engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and other markets in the state. Find roles that fit your experience and apply directly.
See All 5 Azure Cloud Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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