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Azure Data Factory Jobs in Georgia (NOW HIRING)

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/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 ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics,

The ideal candidate has hands-on experience with SQL performance optimization, Azure Data Factory, and Power BI , along with a solid understanding of modern data warehousing concepts. Key ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data ...

Azure Databrick with Anaplan

Atlanta, GA · On-site

$53 - $65.75/hr

Mandatory Skills Azure Databricks notebooks jobs workflows Delta Lake PySpark dataframes Spark SQL optimization debugging Azure Data Factory ADF triggers pipelines integration runtime Data Lake ...

ETL Developer at GA

Atlanta, GA · On-site

$49 - $64.25/hr

State of Georgia Duration: 12+ Months We are seeking a skilled ETL Developer with expertise in Azure Data Factory to design and maintain data integration solutions. The ideal candidate will have a ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid • Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, • ...

ETL Developer[hybrid]

Atlanta, GA · On-site

$49 - $64.25/hr

Design and implement ETL processes using Azure Data Factory, Data Flows, and Mapping Data Flows. * Integrate data from various sources, including SQL Server, Blob Storage, APIs, and third-party ...

PCA Data Engineer

Atlanta, GA

$110K - $132K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

Azure Data Factory * SQL Server / Azure SQL * Ensure datasets are structured for performance, scalability, and reusability Qualifications Technology stack Primary: * Power BI * Power BI Premium ...

ETL Developer

Atlanta, GA · On-site

$49 - $64.25/hr

Client is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF) to design, develop, and maintain robust data pipelines and integration solutions. Key Responsibilities

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Azure Data Factory information

See Georgia salary details

$9

$49

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How much do azure data factory jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for azure data factory in Georgia is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $55.43 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

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

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
What are the most commonly searched types of Azure Data Factory jobs in Georgia? The most popular types of Azure Data Factory jobs in Georgia are:
What job categories do people searching Azure Data Factory jobs in Georgia look for? The top searched job categories for Azure Data Factory jobs in Georgia are:
What cities in Georgia are hiring for Azure Data Factory jobs? Cities in Georgia with the most Azure Data Factory job openings:

$61 - $79.50/hr

Full-time

Posted 18 days ago


Job description

Overview:
Role Description:
Key Responsibilities Architect Design Design and implement end-to-end modern data architecture on the Azure cloud platform, including data lakes, data warehouses, and analytics solutions.Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data Modeling Warehousing Develop and maintain robust, scalable data models that support business intelligence and analytics needs. Define and enforce data modeling standards and best practices.Strategy Governance Drive the strategy for our cloud data platform, ensuring security, governance, and cost-effectiveness are embedded into the architecture from day one.Migration Leadership Plan and execute the migration of on-premise data warehouses and databases to the Azure cloud, minimizing downtime and ensuring data integrity.Collaboration Mentorship Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver effective solutions. Mentor junior members of the team on best practices in cloud data architecture.
Essential Skills:
Required Skills and Experience Experience 10 years in data engineering or architecture, with at least 4 years in a senior or architect role focused on cloud solutions.Azure Expertise Deep, hands-on experience with the Azure data ecosystem, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.Databricks Proficiency Proven expert-level ability to design and build solutions using Databricks for large-scale data processing (ETLELT) and analytics.Modern Data Tooling Strong, practical experience using dbt for data transformation, modeling, and testing within a cloud data warehouse environment.Data Warehousing Solid understanding of data warehousing principles, including KimballInmon methodologies, dimensional modeling, and schema design.Infrastructure as Code (IaC) Experience using tools like Terraform or ARM templates to define and manage cloud infrastructure. Preferred Qualifications Cloud Migration Experience Demonstrable experience leading a significant on-premises data warehouse migration to Azure cloud platform.Power BI Familiarity with Power BI for data visualization and reporting is a strong plus but not required.Certifications Azure certifications such as DP-203 (Data Engineering on Microsoft Azure) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions) are highly desirable.CICD Experience implementing CICD pipelines for data engineering workflows (e.g., using Azure DevOps or GitHub Actions).Programming Proficiency in Python and SQL.Strong Communication Skills.
Skills required:
Digital : Microsoft Azure
Digital : Databricks
Data Build Tool
Azure Data Factory
Skills:
TESTING , AZURE DATA FACTORY , MICROSOFT AZURE , DATA WAREHOUSING , DIMENSIONAL MODELING , AZURE SERVICES , PYTHON