Principal Programmer / Analyst 2

Division: Information Technology   Employment Status: Exempt Salary Grade:  109 Shift:  Requisition ID:  76824  Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager.  Please refer to the Employee Transfers Guidelines posted on Skylink. Description As a Fabric Data Analytics Engineer, you will join our Data Analytics team as a Subject Matter Expert (SME) to design, develop, and manage enterprise-scale data solutions on Microsoft Fabric. You will be responsible for building modern data platforms leveraging Lakehouse, Data Warehouse, Data Pipelines, and Real-Time Analytics, enabling scalable, governed, and high-performing data ecosystems Responsibilities Key Duties include, but not limited to: Design, develop, and implement end-to-end data solutions using Microsoft Fabric components such as Lakehouse, Data Factory (Pipelines), Dataflows Gen2, Warehouse, and Notebooks. Build and maintain scalable data ingestion, transformation, and orchestration pipelines for structured and unstructured data. Develop and implement robust data models and semantic layers to support downstream analytics, including Power BI. Ensure data quality, reliability, and performance optimization across all Fabric workloads. Manage and optimize Delta Lake tables and Lakehouse architectures, including partitioning, indexing, and storage optimization. Collaborate with IT, analytics, and business teams to gather requirements, define architecture, and deliver enterprise data solutions. Implement and maintain data governance, lineage, security, and compliance frameworks using Fabric and Purview integration. Build and maintain real-time and near-real-time data processing solutions using Fabric Event Streams and streaming datasets. Design and manage data warehousing solutions within Fabric Warehouse for high-performance analytics. Develop and maintain documentation, including data architecture diagrams, data dictionaries, pipeline flows, and operational runbooks. Integrate data from various sources, including ERP systems, APIs, databases, files, and external platforms, into Fabric. Monitor and troubleshoot data pipelines, workloads, and capacity performance to ensure SLAs are met. Enable and support self-service analytics by preparing curated datasets and collaborating with Power BI developers. Implement CI/CD and DevOps practices for data pipelines and Fabric artifacts. Optimize storage and compute utilization to manage cost and capacity planning within Fabric environments. Work in Agile methodology to design, develop, test, and deploy data engineering solutions and enhancements. Continuously stay updated with Microsoft Fabric advancements, new features, and best practices. Required Experience and Skills SKILLS AND EDUCATION REQUIREMENTS Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+…