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Azure Data Platform Engineer Jobs in Clarkston, MI

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 ...

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 ...

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 ...

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 ...

... Platform Build * Own the build and operation of ingestion pipelines across retailer, HQ, and BU data sources on the Databricks and Azure data stack. * Contribute directly as a senior engineer on ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) • Familiarity with time ...

... Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or ...

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Azure Data Platform Engineer information

See Clarkston, MI salary details

$45.5K

$132.6K

$181.4K

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

As of Aug 23, 2026, the average yearly pay for azure data platform engineer in Clarkston, MI is $132,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 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 cities near Clarkston, MI are hiring for Azure Data Platform Engineer jobs?

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

Infographic showing various Azure Data Platform Engineer job openings in Clarkston, 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 $132,591 per year, or $63.7 per hour.

Azure & Snowflake Data Engineer

HTC Global Services

Troy, MI • On-site

$107K - $128K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Job Title: Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary

Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.

This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.

Key Responsibilities
  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
  • Write and optimize complex SQL queries, transformations, and data processing logic.
  • Develop Python-based data processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data warehouse, lakehouse, data modeling, and solution design concepts.
  • Troubleshoot data quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.
Required Qualifications
  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including Tasks, Streams, Procedures, Functions, and Snowpark.
  • Strong understanding of:
    • Data warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.
Preferred Qualifications
  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data quality, governance, and monitoring practices.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.