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Azure Data Platform Engineer Jobs (NOW HIRING)

Hexion Careers

Senior Azure Data & Platform Engineer

OH · Remote

$65 - $84.75/hr

Databricks certifications such as Data Engineer Associate or Professional * Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator. * AWS ...

Hexion, Inc.

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

Databricks certifications such as Data Engineer Associate or Professional * Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator. * AWS ...

Hexion, Inc.

Senior Azure Data & Platform Engineer

OH

$53 - $69/hr

Databricks certifications such as Data Engineer Associate or Professional * Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator. * AWS ...

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$76.52K - $99.44K/yr

Implement and manage Azure services such as Data Factory, Synapse Pipelines, Storage Accounts, and Key Vault. * Automate deployments using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

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Azure Data Platform Engineer information

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$44.5K

$129.7K

$177.5K

How much do azure data platform engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for azure data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

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 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 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.

More about Azure Data Platform Engineer jobs
What cities are hiring for Azure Data Platform Engineer jobs? Cities with the most Azure Data Platform Engineer job openings:
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Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 19% Physical, 18% Hybrid, and 63% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Azure Data Platform Architect

Purple Drive Technologies LLC

Bellevue, WA • On-site

$71.75 - $93.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Azure Data Platform Engineer / Architect

Job Summary:

We are seeking a highly skilled Azure Data Platform Engineer / Architect to design, build, and optimize enterprise-scale data platform capabilities. The ideal candidate will have strong expertise in Azure data technologies, platform engineering, observability, CI/CD automation, reliability engineering, and enterprise data ingestion frameworks.

This role requires hands-on experience in building scalable and reusable infrastructure platforms, implementing operational excellence practices, and enabling self-service data platform capabilities for enterprise teams.


Key Responsibilities Platform Observability & Reliability Engineering
  • Design and implement enterprise-grade observability frameworks covering:
    • Metrics
    • Monitoring
    • Logging
    • Alerting
    • Operational dashboards
  • Establish reliability engineering standards to improve platform resilience, uptime, and operational stability.
  • Define platform SLAs, operational readiness standards, and incident management practices.


Platform Engineering & Infrastructure Automation
  • Design and build scalable shared infrastructure platform capabilities to support enterprise data workloads.
  • Develop reusable infrastructure patterns, governance guardrails, and deployment standards.
  • Support scalable cloud-native platform services using Microsoft Azure technologies.


CI/CD & DevOps Enablement
  • Build and maintain CI/CD frameworks for reliable and repeatable deployments.
  • Implement DevOps best practices using:
    • Azure DevOps
    • GitHub Actions
    • Infrastructure-as-Code
  • Enable self-service deployment and onboarding capabilities for engineering teams.


Enterprise Data Ingestion Framework
  • Design and implement enterprise-wide data ingestion frameworks supporting:
    • Batch ingestion
    • Near Real-Time (NRT) ingestion
    • Streaming pipelines
  • Ensure ingestion pipelines are:
    • Scalable
    • Observable
    • Reusable
    • Fault tolerant


AI-Driven Automation & Optimization
  • Implement intelligent automation frameworks to optimize:
    • Platform operations
    • Monitoring
    • Cost efficiency
    • Performance tuning
  • Identify opportunities to reduce manual operational effort using AI-driven automation capabilities.


Marketing Domain Enablement & Adoption
  • Develop onboarding programs and enablement frameworks for platform consumers.
  • Create documentation, templates, standards, and best practices to accelerate adoption across business domains.
  • Collaborate with business and engineering teams to improve platform usability and adoption.


Required Skills & Experience Mandatory Skills
  • Strong experience in:
    • Platform Engineering
    • Data Platform Engineering
    • Infrastructure Engineering
  • Hands-on expertise with:
    • Azure Databricks
    • Azure Synapse Analytics
    • Microsoft Fabric
    • Azure Data Factory
  • Strong experience with:
    • Azure Monitor
    • Application Insights
    • Log Analytics
  • Experience implementing:
    • CI/CD pipelines
    • DevOps frameworks
    • Infrastructure automation
  • Expertise in enterprise data ingestion and near-real-time data pipelines.
  • Strong knowledge of:
    • Observability
    • Reliability Engineering
    • Platform Monitoring
    • Operational Excellence
  • Experience with:
    • Cosmos DB
    • PL/SQL
    • MSBI technologies
    • Data Modeling & Architecture


Preferred Skills
  • Experience with AI-driven operational automation
  • Knowledge of containerization and Kubernetes
  • Experience building enterprise-scale reusable data platforms
  • Strong documentation and stakeholder communication skills
  • Agile/Scrum experience


Experience Required
  • 5+ years of relevant experience in Azure Data Platform Engineering / Platform Engineering.

Apply