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Azure Data Platform Engineer Jobs in Ohio (NOW HIRING)

Azure * Terraform * Ansible, Chef, or Puppet (heavy usage) * Programming language proficiency * Kubernetes (heavy usage) * Strong automation focus (Summary) The Senior Platform Engineer designs ...

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm ... Platform Engineer III Location: Cincinnati, OH [Downtown] Years of Experience: 4-20+ TOP SKILLS:

We are seeking a Data Platform Engineer to lead the architectural hardening and enterprise integration of Dataiku within our modern data stack, including Snowflake, DBT, and AWS. This is not a ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Deep expertise in cloud data platforms , especially Azure and Databricks * Strong understanding of ... Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) * Strong ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... platforms, especially Azure and Databricks Strong understanding of ELT/ETL, data modeling, and data warehousing principles Proven ability to lead and mentor technical teams in a collaborative ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Deep expertise in cloud data platforms , especially Azure and Databricks * Strong understanding of ... Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) * Strong ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

Deep expertise in cloud data platforms , especially Azure and Databricks * Strong understanding of ... Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) * Strong ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Deep expertise in cloud data platforms , especially Azure and Databricks * Strong understanding of ... Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) * Strong ...

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

... Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation • Version control and CI/CD practices for data workflows using Azure DevOps and Git REQUIRED ...

Showing results 21-40

Azure Data Platform Engineer information

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.
What are popular job titles related to Azure Data Platform Engineer jobs in Ohio? For Azure Data Platform Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Ohio look for? The top searched job categories for Azure Data Platform Engineer jobs in Ohio are:
Infographic showing various Azure Data Platform Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Platform Engineer

1 point system

Cleveland, OH • On-site

Contractor

Re-posted 11 days ago


Job description

Interview Process: 3 steps → HR round + 2 virtual rounds

Must Haves

  • Azure
  • Terraform
  • Ansible, Chef, or Puppet (heavy usage)
  • Programming language proficiency
  • Kubernetes (heavy usage)
  • Strong automation focus

Job Description (Summary) The Senior Platform Engineer designs, builds, troubleshoots, and maintains platforms across operating systems, hardware, and software infrastructure. The role ensures efficiency, security, and resiliency for both cloud and on‑premises systems, supporting DevOps and business objectives. Collaboration with Application, Architect, and Database Engineers is required to maintain platform integrity.

Responsibilities

  • Maintain platform hardware, software, and network requirements
  • Monitor performance and troubleshoot issues
  • Manage and configure DevOps tools (API Gateway, Terraform)
  • Collaborate with DevOps and production teams for new features/services
  • Implement automation and orchestration for platform services
  • Coordinate tasks across teams for smooth operations
  • Identify and mitigate security threats, ensure compliance
  • Develop security and resiliency policies and procedures
  • Produce high‑level design documentation
  • Conduct technical research for new/modified systems
  • Manage vendor relationships for design and platform changes

Requirements

  • Education:
    • Required: Bachelor’s in Computer Science or 7+ years Platform Engineer experience
    • Preferred: Azure Solutions Architect, Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer
  • Knowledge & Experience:
    • Platform engineering and infrastructure components
    • Automated interaction with physical infrastructure
    • Cloud environments (AWS, GCP, Azure)
    • Monitoring/log management (Nagios, Splunk, ELK)
    • Backup and disaster recovery strategies
    • Scripting (Python, PowerShell, Bash)
    • Infrastructure as Code (Ansible, Chef, Terraform)
  • Technical Skills:
    • Programming languages
    • Cloud technologies and platforms
    • CI/CD, DevOps methodology
    • Operating systems, network operations/configuration
    • Containerization (Docker, Kubernetes, Rancher)
    • Observability tools (Sysdig, Fluentd, Elasticsearch)
    • GitOps practices (ArgoCD)
    • Security integrations (HashiCorp Vault, cert‑manager)
    • Strong communication skills