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Azure Data Fabric Jobs (NOW HIRING)

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Role: Data Fabric Architect - Generative AI / RAG / Microsoft Fabric Location: Phoenix, AZ ... Knowledge of Azure Data Platform components (Synapse, Data Factory, Data Lake, Power BI, etc.

Azure Data Factory, Azure Databricks, Synapse, Data Lake Storage * Data fabric platforms:Informatica, Talend, IBM Cloud Pak for Data, Microsoft Fabric * Spark, SQL, Python, or Scala for distributed ...

Senior Microsoft Fabric Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Infrastructure as Code (IaC) using Bicep/ARM/Terraform for Azure resources * Advanced scripting ... Fabric Data Pipelines, Dataflows Gen2, and/or Azure Data Factory * Lakehouse & Warehouse ...

Senior Azure Data Engineer - Fabric

Phoenix, AZ · On-site

$121K - $160K/yr

Architect and implement modern data warehouse/lakehouse solutions  using Azure Synapse Analytics and Microsoft Fabric * Develop and optimize Synapse Notebooks (PySpark / Spark SQL)  for large ...

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Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

Developing an Azure Fabric data architecture * Developing and managing databases, data lakes, and other data storage solutions using Azure services * Working with data technologies such as Azure ...

Sr. Fabric Data Engineer

Madison, WI

$106K - $145K/yr

Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments. * Collaborate with Data Governance teams to ensure adherence to enterprise data ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... Exposure to Microsoft Fabric is preferred but not required. This role will focus on supporting data ...

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Azure Data Fabric information

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How much do azure data fabric jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for azure data fabric 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 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 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, and why are they important?

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 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.

More about Azure Data Fabric jobs
What cities are hiring for Azure Data Fabric jobs? Cities with the most Azure Data Fabric job openings:
What states have the most Azure Data Fabric jobs? States with the most job openings for Azure Data Fabric jobs include:
Microsoft Azure Data Fabric Engineer

Microsoft Azure Data Fabric Engineer

MatchPoint Solutions

Chicago, IL • On-site, Remote

$118K - $141K/yr

Contractor

Posted 6 days ago


Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Title: Microsoft Azure Data Fabric Engineer
Location: Chicago, IL - 100% Remote
Duration: Long-Term
Type: Contract or Full-Time
Compensation: Competitive (Based on Experience)
Rate: $ 55-60/hr
Required Skills (Must Have):
  • 4-7+ years in Data Engineering with strong Azure experience
  • Hands-on experience with Microsoft Fabric, ADF, and SSIS
  • Strong experience with Azure DevOps and Git
  • Salesforce integration experience using ADF
  • Experience with event-based data processing (Event Bridge/streaming)
  • Strong SQL skills (Delta Lake/Synapse is a plus)
  • Knowledge of data governance and security best practices

Nice to Have:
  • Power BI and Fabric OneLake experience
  • Large-scale data migration experience
  • Familiarity with Purview or data cataloging tools

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.