Remote Azure Data Fabric Engineer for Pipelines

MatchPoint; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

MatchPoint is seeking a skilled Azure Data Fabric Engineer to lead development and integration across Microsoft data platforms, including Azure Data Factory, Microsoft Fabric, and Salesforce pipelines. This remote, long-term role focuses on building scalable data workflows for enterprise analytics and ensuring robust performance and governance.

You will design and maintain pipelines, build CI/CD with Azure DevOps, integrate Salesforce via ADF, implement Git-based versioning, and optimize data

Qualifications

• 4–7+ years in Data Engineering with strong Azure experience.
• Hands-on 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.

Responsibilities

• Design and maintain data pipelines using Microsoft Fabric, ADF, and SSIS.
• Build and manage CI/CD pipelines using Azure DevOps.
• Integrate Salesforce with Microsoft Fabric for real-time and batch processing.
• Implement Git-based source control and versioning strategies.
• Develop ETL/ELT pipelines across cloud and on-prem systems.
• Optimize performance and cost of data solutions.
• Collaborate with QA, analysts, and data teams.
• Document architecture, workflows, and reusable components.

Skills

Data Engineering

Azure expertise

Salesforce integration

Event-based processing

SQL

Data governance and security

Tools

Microsoft Fabric

Azure Data Factory (ADF)

SSIS

Azure DevOps

Git

Delta Lake

Synapse

Job description

MatchPoint is seeking a skilled Azure Data Fabric Engineer to lead development and integration across Microsoft data platforms, including Azure Data Factory, Microsoft Fabric, and Salesforce pipelines. This remote, long-term role focuses on building scalable data workflows for enterprise analytics and ensuring robust performance and governance.

You will design and maintain pipelines, build CI/CD with Azure DevOps, integrate Salesforce via ADF, implement Git-based versioning, and optimize data