Armstrong Collective
Data Engineer for Microsoft Fabric
Job Description
Drive innovation at Armstrong Collective as a Data Engineer specializing in Microsoft Fabric. Engage in designing, building, and operating robust data solutions with emphasis on Real-Time Intelligence and Spark engineering.
This hands-on, individual contributor role reports to the Senior Manager, Data Operations. You will leverage your expertise in data modelling, KQL, and Power BI to create and maintain scalable data products. Collaborating with a high-performing team, you will focus on delivering reliable, governed data for critical decision-making that supports strategic initiatives.
Key Responsibilities:
• Design and maintain canonical data models for analytics
• Build scalable data pipelines using Microsoft Fabric tools
• Optimize KQL queries for real-time processing
• Develop Spark and PySpark pipelines with best practices
• Ensure data governance through Microsoft Purview
Requirements:
• 5+ years in data engineering with batch and streaming solutions
This hands-on, individual contributor role reports to the Senior Manager, Data Operations. You will leverage your expertise in data modelling, KQL, and Power BI to create and maintain scalable data products. Collaborating with a high-performing team, you will focus on delivering reliable, governed data for critical decision-making that supports strategic initiatives.
Key Responsibilities:
• Design and maintain canonical data models for analytics
• Build scalable data pipelines using Microsoft Fabric tools
• Optimize KQL queries for real-time processing
• Develop Spark and PySpark pipelines with best practices
• Ensure data governance through Microsoft Purview
Requirements:
• 5+ years in data engineering with batch and streaming solutions