BI Infrastructure Engineer

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Ancora Education

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Ancora Education is an industry leader in providing career-focused education and vocational training programs. With a network of institutions across 22 campus locations and a range of online offerings, Ancora Education empowers individuals through skill development in various fields, including allied health, information technology, professional trades, and business studies. Their mission is to inspire and support adult learners and workforce partners through flexible learning solutions that meet current market demands.

📋 Description

• Design and build data pipelines using Azure Data Factory to ingest data from the student information system into a Microsoft Fabric Lakehouse. • Develop and maintain Bronze and Gold layer Delta tables following Medallion Architecture principles. • Build and optimize Power BI semantic models, including relationships, DAX measures, and row-level security across multiple business domains. • Create denormalized SQL views on SQL Server to pre-stage data for Lakehouse ingestion. • Maintain and improve incremental load patterns using watermark-based pipeline strategies. • Collaborate with the Data Architect to design Gold layer table structures that support clean, maintainable reporting. • Assist in retraining reporting staff on Power BI and the new Fabric environment alongside the Data Architect. • Contribute to data governance standards, including naming conventions, documentation, and model design guidelines. • Support the future development of conversational AI agents built on top of the Fabric data layer. • Monitor pipeline health, troubleshoot failures, and maintain data quality across the Lakehouse.

🎯 Requirements

• Hands-on experience with Microsoft Fabric, including Lakehouses, Delta Lake, and OneLake. • Proficiency in SQL — complex joins, CTEs, window functions, and query optimization. • Experience building and maintaining Azure Data Factory pipelines. • Familiarity with Medallion Architecture (Bronze, Silver, and Gold layers). • Power BI experience, including semantic model design and DAX measure development. • Ability to communicate technical concepts clearly to non-technical audiences. • Comfort working independently in a small team environment with minimal supervision. • Strong attention to data quality and validation. • Experience with Python or PySpark for data transformation. • Microsoft certifications such as PL-300, DP-700, or AZ-900. • Experience with SQL Server, including stored procedures, views, and replication. • Familiarity with Direct Lake mode in Power BI semantic models. • Experience with incremental load patterns and watermark-based pipeline strategies. • Prior work in education, nonprofit, or mission-driven organizations.