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Azure Data Platform Engineer Jobs in Detroit, MI

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Strong understanding of data integration, ETL/ELT, data modeling, and data engineering patterns. * Experience with Azure cloud data services and enterprise-scale data platforms. Strong understanding ...

Azure & Snowflake Data Engineer

Troy, MI · On-site

$107K - $128K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Support data ingestion, transformation, validation, and delivery across enterprise data platforms.

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Support data ingestion, transformation, validation, and delivery across enterprise data platforms.

Experience with DevOps, DataOps, CI/CD (Azure DevOps / GitHub Actions), infrastructure-as-code ... Familiarity with data platform technologies such as Databricks, Snowflake, BigQuery, Synapse ...

We are actively seeking a Data Platform Engineer to build and evolve the modern cloud data platform that powers analytics, internal applications, automation, and AI initiatives across the ...

Platform Engineer #1058624 * We are seeking a highly motivated full stack developer to join our ... Big Data Skills Preferred: * Design and Build Data Pipelines: Architect, develop, and maintain ...

Platform Engineer #1058373 Position Description: The Power Platform & Copilot Studio Administrator ... Azure * Deep understanding of AI technology including Large Language Models (LLMs), data grounding ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering ... Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

Duties and Responsibilities · Operate and maintain our Azure (AKS) Kubernetes environments and ... platform operations, deployments, and troubleshooting · Partner with developers to assist with ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience setting end-to-end modern data platforms in Azure including architecture/design ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience setting end-to-end modern data platforms in Azure including architecture/design ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience setting end-to-end modern data platforms in Azure including architecture/design ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

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Showing results 1-20

Azure Data Platform Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

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

As of Aug 22, 2026, the average yearly pay for azure data platform engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Azure Data Platform Engineer jobs in Detroit, MI?

For Azure Data Platform Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in Detroit, MI look for?

The top searched job categories for Azure Data Platform Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Azure Data Platform Engineer jobs?

Cities near Detroit, MI with the most Azure Data Platform Engineer job openings:

Infographic showing various Azure Data Platform Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

$58 - $75.75/hr

Other

Posted 4 days ago


Job description

Position: Azure Data Architect

Location: Detroit, MI

Fulltime

Skills:

  • Strong experience as an Azure Data Architect
  • Strong knowledge of OneLake, Fabric Lakehouse, and Fabric Warehouse.
  • Extensive experience with Azure Data Factory and data pipeline development.
  • Hands-on experience with Microsoft Fabric.
  • Strong experience with Azure Synapse Analytics.
  • Hands-on experience with PySpark, Spark, Python, and SQL.
  • Strong understanding of modern data warehouse and data lakehouse architectures.
  • Experience designing and implementing Power BI solutions and semantic models.
  • Strong understanding of data integration, ETL/ELT, data modeling, and data engineering patterns.
  • Experience with Azure cloud data services and enterprise-scale data platforms.
    Strong understanding of data security, governance, data quality, and access-control principles.

Preferred Skills

  • Experience migrating traditional data warehouses to Microsoft Fabric.
  • Experience with Delta Lake and medallion architecture.
  • Knowledge of Fabric Data Engineering, Data Factory, Notebooks, and pipelines.
  • Experience with Azure DevOps and CI/CD for data platforms.
  • Experience with metadata-driven data pipelines and automation.
  • Knowledge of Power BI DAX and advanced semantic modeling.
  • Experience with enterprise data governance and Microsoft Purview.
  • Familiarity with real-time/streaming data architectures is a plus.