Fabric Administrator

Job Overview

We are seeking a Data Engineer to join K&L Gates. The Data Engineer (Fabric) is a junior contributor in Enterprise Applications, Data, and AI Platforms, building the Microsoft Fabric data platform. They develop pipelines, Lake houses, and semantic models powering analytics, reporting, and AI solutions across Finance, HR, Client Growth, and Legal Operations. They use Fabric Data Factory, Notebooks, Lakehouse, and Data Warehouse to create scalable, reliable, business‑aligned data products, including pipelines supporting Azure AI Foundry and retrieval‑augmented generation solutions.

In an Agile Dev Ops environment, they translate complex business needs into governed, reliable data products. They report to the Senior Manager, Data Engineering and must be self‑starters with independent and team work skills, excellent communication, and client service commitment.

Key relationships include:
Director, Enterprise Applications, Data, and AI Platforms;
Senior Manager, Data Engineering;
Senior Manager, Automation and Development;
Senior Manager, Enterprise Applications;
Senior Applications Architect;
Senior Data Architect;
Team Lead, Workflow and Automation;
Cloud Platform Engineer;
Project Manager;
Business Data Experts and Business Data Sponsors.

• Designing, developing, and maintaining data pipelines and advanced transformations using Microsoft Fabric tools for ingestion, orchestration, automation, and performance optimization.
• Designing and implementing Microsoft Fabric Lakehouse and Data Warehouse solutions on One Lake, choosing suitable technology for performance, structure, and business needs. Ensuring unified storage governance and enabling cross‑domain data sharing.
• Applying modern data modeling practices, including dimensional and Medallion approaches, and build optimized Power BI datasets using DAX and Power Query.
• Implementing data quality, validation, monitoring, and error‑handling processes to ensure reliability and trust in data products.
• Deploying and managing data solutions through CI/CD pipelines in Azure Dev Ops or Git Hub Actions while creating and maintaining technical documentation and templates.
• Participating in Agile ceremonies and track work using Azure Dev Ops boards, including sprint planning, backlog refinement, and work item management.
• Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval‑augmented generation.
• Translating business requirements into technical specifications and scalable data solutions, working with Business Data Experts and Sponsors to validate understanding.
• Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge‑first support.
• Participating in testing activities for assigned solutions, including unit testing, integration testing, and supporting UAT to confirm data accuracy and functional needs.
• Utilizing AI tools like Microsoft Copilot and Claude while following governance standards, ensuring responsible usage, data classification, and compliant model implementation.
• Contributing to the design, development, or upkeep of AI‑enabled solutions on the Microsoft platform stack, following the governed portfolio model.

• Hold Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; equivalent professional experience is acceptable. Obtain relevant Microsoft certifications, such as DP‑600, DP‑203, or AI‑900.
• Understand data architecture, schema design, Medallion Architecture, performance tuning, and Data Mesh concepts, including domain ownership and federated governance principles.
• Demonstrate knowledge of Microsoft Purview for data governance, metadata management, unified catalog, and sensitivity labeling within the Microsoft Fabric ecosystem.
• Maintain a secure, professional workspace and be willing to travel up to 10% for offices, vendors, conferences, or seminars.
• Participate in scheduled release windows and production support events, occurring 2–4 times quarterly, including…