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Azure Data Fabric Jobs in Georgia (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Delta Lake * Microsoft Fabric * Power BI * Terraform * Azure certification * Experience with large enterprise data environments #Hiring #W2 #AzureDataEngineer #Azure #DataEngineering ...

Data Solutions Engineer

Atlanta, GA

$110K - $132K/yr

... Fabric to support data engineering, analytics, and business intelligence solutions. • Use ... Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ...

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Automate workflows and data integration processes using Azure Data Factory, Microsoft Fabric, Logic Apps, APIs, and other relevant tools. Pipeline & Dataflow Development Continuously monitor and ...

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Technical Stack: • Microsoft FabricAzure Databricks • SQL Server / SQL Managed Instances ... Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with ...

Sr Data Engineer- Lead

Atlanta, GA · On-site

$53.50 - $71/hr

... Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric • Develop and manage data models across bronze, silver, gold layers to support reporting and analytics.

Azure Synapse * Microsoft Fabric * Utilize Databricks SQL or Spark SQL for advanced analytical ... Provide data-driven insights to support strategic decisions. Required Qualifications * 5-10 years ...

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Azure Data Fabric information

What is Azure Data Fabric?

Azure Data Fabric is a set of cloud-based tools and services provided by Microsoft Azure to enable seamless data integration, management, and analytics across various data sources and environments. It helps organizations unify their data infrastructure, making it easier to collect, store, process, and analyze data from on-premises, cloud, and hybrid sources. Azure Data Fabric typically leverages services like Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to create a comprehensive data solution. This approach helps streamline data workflows, improve data governance, and accelerate business insights.

What are the key skills and qualifications needed to thrive as an Azure Data Fabric engineer?

To thrive as an Azure Data Fabric Engineer, you need expertise in data architecture, data integration, and cloud computing, typically with a background in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Data Lake), along with relevant certifications like Azure Data Engineer Associate, is crucial. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across teams and address complex data challenges. These skills ensure secure, scalable, and efficient data solutions that empower organizations to make data-driven decisions.

What are some common challenges faced by professionals working with Azure Data Fabric, and how can they be addressed?

Professionals working with Azure Data Fabric often encounter challenges related to integrating diverse data sources, ensuring data security, and optimizing data pipeline performance. Managing data consistency and governance across distributed environments can also be complex. These challenges can be addressed by leveraging Azure's built-in monitoring and security tools, implementing robust data management policies, and staying up-to-date with best practices through continuous learning. Collaboration with cross-functional teams, such as data engineers, architects, and security specialists, is essential for successful project delivery.

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

AspectAzure Data FabricData Engineer
Primary FocusData integration, management, and platform services on AzureDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsAzure services, data architecture, cloud computingSQL, ETL, programming, data modeling
CertificationsAzure Data Engineer, Azure Solutions ArchitectMicrosoft Certified: Data Engineer Associate
Work EnvironmentCloud platforms, enterprise data solutionsData warehouses, cloud/on-premises environments

Azure Data Fabric focuses on providing a comprehensive data platform on Azure, enabling data integration and management. Data Engineers build and maintain data pipelines and infrastructure within such platforms. While Azure Data Fabric is a cloud service, Data Engineers work across various environments, often utilizing Azure services. Both roles require knowledge of data architecture and cloud tools, but their core responsibilities differ: platform management versus pipeline development.

What cities in Georgia are hiring for Azure Data Fabric jobs?

Cities in Georgia with the most Azure Data Fabric job openings:

Infographic showing various Azure Data Fabric job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Azure Data Engineer + Microsoft Fabric

Tech Tammina LLC

Roswell, GA • On-site

$50.50 - $62.75/hr

Contractor

Re-posted 2 days ago


Job description

Role: Azure Data Engineer + Microsoft Fabric

Location: Roswell, GA (Hybrid)

Duration: 6 months Contract to Hire

Qualifications (Must-Have):

  • Minimum of 8–10 years of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions.
  • Hands-on experience with Microsoft Fabric for data pipelines, modeling, and analytics.
  • Proficiency with Microsoft Azure data services, including Azure Synapse Analytics.
  • Strong SQL, data modeling, and ETL/ELT development skills.
  • Experience working within a scaled agile framework for data engineering product delivery.
  • Microsoft Azure certifications in analytics technologies are a plus.
  • 4+ years of experience with ETL and cloud data technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI (or equivalent platforms).
  • 4+ years of experience in big data scripting languages such as Python, SCOPE, or SQL.
  • 4+ years of experience in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).