Senior Microsoft Fabric Data Engineer / Consultant: 6-9 years (Advanced)

Confidential company is seeking a Senior Microsoft Fabric Data Engineer / Consultant to deliver a hands-on Microsoft Fabric implementation. The role will build medallion architecture layers, secure semantic models and reports, develop OneLake pipelines and data products, validate the design through a proof of concept, and enable the client team through knowledge transfer.

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

Requirements:

• • 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
• • 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)