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Azure Data Factory Jobs (NOW HIRING)

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic Analysis, Software Development Fundamentals, Design, Development ...

Azure Data Architect

Santa Clara, CA · On-site

$74.75 - $96.25/hr

... FACTORY, AZURE DATA LAKE, Stream Analytics, and Notification Hubs • Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and ...

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 Architect

Tampa, FL · On-site

$60 - $78.25/hr

... Factory, Azure Synapse, and other relevant tools. • Ensure data security and compliance by implementing appropriate measures and best practices. • Perform data profiling, cleansing, and ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

$46.75 - $61/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Strong experience with Azure Data Factory (ADF), Azure Databricks, and Azure Synapse * Hands-on experience with SQL and ETL/ELT development * Experience with Python or PySpark * Knowledge of Azure ...

New

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role involves designing, developing, and maintaining scalable data pipelines utilizing Azure Data Factory (ADF), Databricks, and Snowflake to support enterprise data and analytics initiatives.

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 Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Showing results 21-40

Azure Data Factory information

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How much do azure data factory jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for azure data factory in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

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.

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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

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, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.
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What cities are hiring for Azure Data Factory jobs?

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What are the most commonly searched types of Azure Data Factory jobs?

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What states have the most Azure Data Factory jobs?

States with the most job openings for Azure Data Factory jobs include:

Infographic showing various Azure Data Factory job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data/Ops Architect

Dallas, TX • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees

$62.75 - $81.75/hr

Contractor

Re-posted 29 days ago


Job description

Job Title: Azure Data/Ops Architect
Location: Dallas TX or San Francisco CA
 
Role/Responsibilities
We are seeking a highly skilled (Solution Architect) Azure Data/Ops Architect to lead the design and implementation of scalable, automated data operations on Microsoft Azure. This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization.
Must Haves for this Opportunity:
  • Experience as Solutions Architect
  • Experience with Data Opps Azure Architect
  • Experience managing End to End Data specific tower
  • Experience with Automation / Optimization (must have)
  • Experience with Azure Databricks
  • Experience with Azure Data Factory
  • Experience with PySpark
  • Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)
  • Experience working within Retail environment.

Key Responsibilities:
  • Architect Azure-Based Data/Ops Solutions:
  • Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services.
  • Develop CI/CD pipelines for data workflows using Azure DevOps and GitHub Actions.
  • Automation & Orchestration:
  • Automate data ingestion, transformation, and delivery processes.
  • Implement workflow orchestration using tools like Apache Airflow or Azure Logic Apps.
  • Monitoring & Optimization:
  • Set up monitoring and alerting for data pipelines using Azure Monitor and Log Analytics.
  • Optimize performance, cost, and scalability of data solutions.
  • Governance & Security:
  • Ensure data governance, lineage, and compliance using Azure Purview and role-based access control (RBAC).
  • Implement data security best practices including encryption, masking, and secure data sharing.
  • Collaboration & Leadership:
  • Work closely with data engineers, analysts, and business stakeholders to align data operations with business goals.
  • Promote Data/Ops culture and best practices across teams.

Required Qualifications:
  • Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
  • 7+ years of experience in data engineering or cloud architecture.
  • Deep expertise in Azure services: Data Factory, Synapse, Databricks, Blob Storage, Azure SQL, Cosmos DB.
Strong understanding of DevOps principles and CI/CD tools