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# Lead Azure Data Engineer-Fabric

- **Company:** Source Select Group
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Business Analytics Applications, Microsoft Azure, Bash Shell, Big Data, Code Review, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Python (Programming Language), Machine Learning, Microsoft SQL Server, NoSQL, Performance Tuning, Azure Data Lake, Transact-SQL, Feature Engineering, Azure Data Factory, Apache Spark, Microsoft Fabric, Pyspark, Machine Learning Operations, Azure Service Fabric, Databricks
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=679dd3951aa9f423

## About the Role

* 7+ years in Azure Data Engineering
 * 3+ years of work experience with Azure Data Factory
 * 1+ years of work or strong knowledge of Azure Service Fabric
 * 4+ years of work experience with Azure Databricks
 * 3+ years in technical leadership roles
 * Bachelor's degree required, * Lead Data engineer: 6 years (Required)
 * Azure Data Lake: 3 years (Required)
 * Python: 3 years (Required)

## Description

This is a full-time, remote position leading a team of Data Scientists and Azure Data Engineers in the design, development, and delivery of machine learning models, enterprise data pipelines, and analytics solutions on Microsoft Azure and Fabric.

 * This full-time remote role is for a Lead Azure Data Engineer/Architect responsible for designing, building, and optimizing data solutions on Microsoft Azure.
 * he Lead Azure Data Engineer/Architect will collaborate closely with stakeholders to gather requirements, translate them into technical designs, and ensure data quality, security, and governance standards are met.
 * Day-to-day responsibilities include hands-on development, performance tuning, code reviews, and mentoring other data engineers., * Architect and build scalable pipelines using:
 * Databricks
 * Apache Airflow
 * Fabric Data Factory
 * Azure Date Engineering
 * Microsoft Fabric (Lakehouse, OneLake, Semantic Models)
 * Implement medallion architecture and modern data warehousing
 * Ensure scalability, performance, and resilience
 * Own full lifecycle: feature engineering * model design * training * validation * deployment * monitoring
 * Drive model selection, tuning, and evaluation strategies
 * Deliver predictive analytics tied to project and financial data
 * REQUIRED SKILLS

Technical (Hands-On Leadership Required)

 * Expert in Python, advanced T-SQL, strong Spark/PySpark
 * Deep experience in:
 * Azure Data Factory (ADF) for ML pipelines (required)
 * Data engineering - ETL/ELT, data warehousing, medallion architecture
 * Advanced experience with:
 * Azure ecosystem
 * Databricks
 * Microsoft Fabric
 * Apache Airflow, * Lead the design and implementation of comprehensive data architectures leveraging Azure Data Lake, Azure Data Factory, and other Azure cloud services to support enterprise analytics needs.
 * Develop and optimize scalable ETL (Extract, Transform, Load) processes using tools such as Informatica, Spark, and custom scripting in Java, Python, or Bash.
 * Architect and maintain large-scale data warehouses utilizing Microsoft SQL Server, and NoSQL databases
 * Collaborate with cross-functional teams to define data modeling standards, ensuring efficient database design and integration of linked data sources.

Pay: From $185,000.00 per year


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