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Full Time Azure Data Factory Jobs (NOW HIRING)

Azure Data Architect

Washington, DC · On-site

$71.75 - $93.25/hr

Responsibilities : • Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks • Define and communicate technical architecture ...

Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

Azure Data Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

... Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, and other related technologies. • Help define data-centric solutions to meet business ...

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role: Azure Data Engineer Location: Bellevue, WA Duration: 6 months Azure Data Engineer Synapse ... Data Factory (ETL)| Synapse Data Engineering (Spark)| Synapse Data Warehousing (SQL)| and OneLake ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Familiarity with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases , Functions etc. * Strong SQL skills with experience in any RDMS * Experience with the DevOps lifecycle (git, Jenkins ...

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work ... Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks ...

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Full Time Azure Data Factory information

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How much do full time azure data factory jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for full time 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 the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are Full Time Azure Data Factory jobs?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory professional, and why are they important?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

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

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.
More about Full Time Azure Data Factory jobs
What cities are hiring for Full Time Azure Data Factory jobs? Cities with the most Full Time Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Full Time Azure Data Factory jobs? States with the most job openings for Full Time Azure Data Factory jobs include:
Infographic showing various Full Time Azure Data Factory job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data Architect

Azure Data Architect

Cognizant

Washington, DC • On-site

$71.75 - $93.25/hr

Full-time

Posted 4 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Summary:
Cognizant is a company that helps organizations modernize technology and transform experiences. They are seeking an experienced Data Architect with expertise in Azure Data Platform and Databricks to design and deliver scalable data solutions, guide engineering teams, and ensure high-quality data platforms.
Responsibilities:
• Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks
• Define and communicate technical architecture decisions, including constraints, trade-offs, and design standards
• Design scalable, flexible, and reusable data solutions aligned with enterprise strategy
• Provide guidance on deployment strategies, ensuring solutions are safe, incremental, and reversible
• Lead the development of standard methodologies, frameworks, and reusable components
• Collaborate with technical leads, project managers, and data engineers to review and validate solution designs
• Establish and enforce data engineering best practices, governance, and coding standards
• Evaluate and recommend emerging technologies to improve data platform efficiency and scalability
• Proactively identify and mitigate technical risks and challenges, ensuring timely resolution
• Stay current with evolving trends in data platforms, cloud technologies, and data engineering practices
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Systems
• 8+ years of experience designing and implementing enterprise data solutions
• Proven experience as a Data Architect within the Microsoft Azure ecosystem
• Strong hands-on experience with Azure Data Factory (ADF)
• Strong hands-on experience with Azure Synapse Analytics
• Strong hands-on experience with Azure Databricks
• Strong hands-on experience with Azure SQL Database
• Strong hands-on experience with Azure Functions & Logic Apps
• Expertise in data warehousing and modeling techniques: Dimensional modeling, Star schema, Data Vault, Medallion architecture
• Experience with modern data platforms and tools: Databricks, Spark, Snowflake, Kafka, Hadoop, or Dremio
• Advanced proficiency in SQL and relational databases (SQL Server, Oracle, PostgreSQL)
• Advanced proficiency in Python and Spark-based data processing
• Deep knowledge of ETL/ELT frameworks, including batch and real-time data processing
• Experience designing data solutions for API, .NET, and analytics consumption (e.g., Power BI)
• Familiarity with Azure DevOps
• Familiarity with ARM templates
• Familiarity with Automation tools (PowerShell, Azure Automation, AZ Copy)
Preferred:
• Strong experience creating architecture artifacts and high-level data models
• Ability to lead technical discussions and influence stakeholders across varying perspectives
• Demonstrated ability to drive alignment and deliver results in complex environments
• Excellent organizational, communication, and stakeholder management skills
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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