

Aaura Softwares
Sr. MS Fabric Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Microsoft Fabric Consultant on a long-term contract, remote in the USA. Requires strong experience in Microsoft Fabric, SQL, Python, and Spark, with preferred certification in Fabric Analytics Engineer Associate (DP-600).
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 31, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Datasets #Monitoring #Spark (Apache Spark) #DAX #Python #Compliance #Data Lake #Databricks #GIT #Dataflow #"ETL (Extract #Transform #Load)" #Data Processing #Data Pipeline #Data Warehouse #Azure #Security #Migration #Data Engineering #Microsoft Power BI #Synapse #Data Governance #SQL Server #Data Modeling #Semantic Models #ML (Machine Learning) #Scala #SQL (Structured Query Language) #Storage #Version Control #BI (Business Intelligence)
Role description
Position: Sr. Microsoft Fabric Consultant
Location: USA-Remote
Duration: Long Term Contract
Job Summary:
Requirements
We are seeking a skilled Data Engineer experienced in building and optimizing data solutions using Microsoft Fabric. The role involves working across Fabricβs unified platform β including Data Factory, Lakehouse, Data Warehouse, and Power BI β to design, implement, and maintain robust data pipelines and analytics environments.
Key Responsibilities
β’ Design, develop, and maintain end-to-end data pipelines within Microsoft Fabric.
β’ Ingest, transform, and model data from multiple sources using Data Factory (Fabric Pipelines) and Dataflows Gen2.
β’ Build and manage Lakehouses, Warehouses, and OneLake storage for scalable data processing.
β’ Collaborate with analytics and business teams to design semantic models in Power BI.
β’ Implement data governance, security, and compliance best practices within Fabric.
β’ Optimize performance and cost efficiency across Fabric workloads.
β’ Integrate Fabric solutions with other Microsoft services (e.g., Azure Synapse, Azure Data Lake, Power Platform).
β’ Automate data validation and quality checks using Fabric Notebooks (Python/Spark) or Data Activator.
β’ Support migration from legacy data platforms (Azure Synapse, Databricks, or SQL Server) to Fabric.
β’ Monitor and troubleshoot data pipeline issues using Fabric monitoring tools.
Required Skills & Experience
β’ Strong experience in Microsoft Fabric ecosystem (Data Factory, Lakehouse, Data Warehouse, OneLake, Power BI).
β’ Proficiency in SQL, Python, and Spark for data transformation.
β’ Experience with ETL/ELT development, data modeling, and performance tuning.
β’ Understanding of Medallion architecture (BronzeβSilverβGold layers).
β’ Experience working with Azure Data Services (Data Lake, Synapse, Data Factory v2) preferred.
β’ Knowledge of data governance, lineage, and security concepts.
β’ Hands-on with Power BI datasets, semantic models, and DAX preferred.
β’ Familiarity with version control (Git) and CI/CD for data pipelines.
Preferred Qualifications
β’ Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
β’ Prior experience in Azure data ecosystem migration to Fabric.
β’ Exposure to real-time analytics and event-based data solutions.
β’ Experience with ML model data preparation in Fabric Notebooks
Position: Sr. Microsoft Fabric Consultant
Location: USA-Remote
Duration: Long Term Contract
Job Summary:
Requirements
We are seeking a skilled Data Engineer experienced in building and optimizing data solutions using Microsoft Fabric. The role involves working across Fabricβs unified platform β including Data Factory, Lakehouse, Data Warehouse, and Power BI β to design, implement, and maintain robust data pipelines and analytics environments.
Key Responsibilities
β’ Design, develop, and maintain end-to-end data pipelines within Microsoft Fabric.
β’ Ingest, transform, and model data from multiple sources using Data Factory (Fabric Pipelines) and Dataflows Gen2.
β’ Build and manage Lakehouses, Warehouses, and OneLake storage for scalable data processing.
β’ Collaborate with analytics and business teams to design semantic models in Power BI.
β’ Implement data governance, security, and compliance best practices within Fabric.
β’ Optimize performance and cost efficiency across Fabric workloads.
β’ Integrate Fabric solutions with other Microsoft services (e.g., Azure Synapse, Azure Data Lake, Power Platform).
β’ Automate data validation and quality checks using Fabric Notebooks (Python/Spark) or Data Activator.
β’ Support migration from legacy data platforms (Azure Synapse, Databricks, or SQL Server) to Fabric.
β’ Monitor and troubleshoot data pipeline issues using Fabric monitoring tools.
Required Skills & Experience
β’ Strong experience in Microsoft Fabric ecosystem (Data Factory, Lakehouse, Data Warehouse, OneLake, Power BI).
β’ Proficiency in SQL, Python, and Spark for data transformation.
β’ Experience with ETL/ELT development, data modeling, and performance tuning.
β’ Understanding of Medallion architecture (BronzeβSilverβGold layers).
β’ Experience working with Azure Data Services (Data Lake, Synapse, Data Factory v2) preferred.
β’ Knowledge of data governance, lineage, and security concepts.
β’ Hands-on with Power BI datasets, semantic models, and DAX preferred.
β’ Familiarity with version control (Git) and CI/CD for data pipelines.
Preferred Qualifications
β’ Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
β’ Prior experience in Azure data ecosystem migration to Fabric.
β’ Exposure to real-time analytics and event-based data solutions.
β’ Experience with ML model data preparation in Fabric Notebooks






