| Location | Cleveland, OH |
| Senior Microsoft Fabric Data Engineer / Consultant Location: Mostly Remote Work Arrangement: Remote with occasional hybrid/on-site work at the client site in Cleveland, OH, as mutually agreed Only W2 no C2C U.S Citizen, Green Card or TN only Key Responsibilities • Implement the medallion architecture. Build medallion layers (Bronze, Silver, Gold, including Gold Tier 2 / semantic objects) in Microsoft Fabric per the ratified reference architecture. • Set up access controls. Stand up and configure the Fabric access-control default posture: workspace and object security, row-level and object-level security (RLS/OLS) on semantic models, and Power BI report access. • Apply classification-based access. Interpret and apply access control driven by data classification tags, and support the citizen-developer model (restricting publish access and tiering who can build reports vs. create Gold T2 / semantic objects). • Deliver worked examples. Build and certify at least one end-to-end data product (e.g., OTIF) usable by multiple consumption tools, scoped to non-controlled data and sites. • Build pipelines. Build pipelines and orchestration using Fabric Notebooks and Dataflow Gen2 across OneLake. • Validate via POC. Execute a thin-slice POC to validate the ratified design ahead of broader rollout. • Environment health. If time permits, stand up basic Fabric environment health monitoring (pipeline/notebook/flow load failures, row-count comparisons). • Enable the client team. Pair with and enable Lincoln Electric engineers throughout, transferring implementation knowledge so the client team can operate independently. • Report status. Provide regular status updates covering activities completed, activities planned, and any known risks or blockers. What This Role Is Not Understanding these boundaries is part of doing the job well, since they protect both the client relationship and engagement margin: • Not architecture (re)design. You implement against the ratified architecture. Redesign is a Lincoln Electric decision and may require a Change Order, so surface design tension rather than quietly re-architecting. • Not full-scale rollout. Delivery is a thin-slice POC plus the capacity under this SOW, not enterprise-wide rollout. • Not production operations. Ongoing operation, monitoring, hypercare, and support after the term are out of scope. • Not platform provisioning. Tenant, licensing, and cloud platform security setup are Lincoln Electric responsibilities. Required Qualifications • Fabric depth. Genuinely hands-on in Microsoft Fabric: OneLake, medallion (Bronze/Silver/Gold) implementation patterns, Fabric RBAC, and pipeline development with Notebooks and Dataflow Gen2. “Hands-on” means you have personally built and shipped this, not advised on it. • Power BI / DAX. Working knowledge of DAX and Power BI, including RLS/OLS on semantic models and report-level access control. • SQL & Spark. Strong SQL and Spark / PySpark for Silver/Gold transformation and data-product build. • Access control. Practical experience implementing access control from data classification tags and tiered publish/build permissions. • Embedded delivery. Comfortable embedding with a client team: pairing, translating architecture decisions into working implementation, and transferring knowledge as you go. • Location. US-based, able to work Eastern-business-hours overlap with Cleveland, OH and travel on-site as mutually agreed. • Level. Senior Consultant level: able to work at client direction with limited oversight and manage your own status reporting. Preferred Qualifications • Prior forward-deployed or client-embedded engineering experience. • Adjacent lakehouse experience (Azure Synapse, Azure Data Factory, or Databricks with Delta Lake) that transfers to Fabric — relevant for candidates strong on lakehouse fundamentals who are newer to the Fabric SaaS layer. • Fabric environment observability / monitoring experience. • Manufacturing or industrial data domain exposure (e.g., OTIF and supply-chain data products). • Microsoft certification: Fabric Analytics Engineer (DP-600) or Fabric Data Engineer (DP-700). Role is mostly remote, some hybrid to client site may occur. |