Microsoft Fabric Expert Data Engineer

Position Data Engineer with Microsoft Fabric Expert Duration Full time Location Newark, NJ (Hybrid) Visa Sponsorship No Visa sponsorship available; only GC and USC can apply Job Description We are seeking a highly experienced Microsoft Fabric Expert with deep, hands‑on expertise across the entire Microsoft Fabric ecosystem. The ideal candidate is a recognized specialist in Microsoft Fabric architecture, Data Engineering, Power BI, and OneLake, capable of designing and delivering enterprise grade, end‑to‑end analytics solutions. This role requires someone who has very deep technical knowledge, can provide thought leadership, and can guide teams in adopting Fabric as the central analytics platform. Qualifications • 8+ years of total experience in Data Engineering / BI / Analytics. • 4+ years hands on with Microsoft Fabric (early adoption is a big plus). • Strong background in modern data platforms--Azure Data Lake, Synapse, Databricks (preferred but not mandatory). • Microsoft Certifications (Fabric, Azure, Power BI) are a plus. • Very deep, hands‑on expertise in Microsoft Fabric architecture, features, governance, engineering, and analytics. Advanced experience with OneLake, shortcuts, security, governance, and workspace management. • Strong Data Engineering background with deep knowledge of Delta Lake, PySpark, Fabric Notebooks, Pipelines. Expert in Power BI, including data modeling, DAX, Direct Lake, incremental refresh, and governance. • Proven experience in building end‑to‑end analytics solutions on Fabric. • Must have deep technical proficiency in Fabric Lakehouses, Warehouses, KQL Databases, Real time Analytics; Data Pipelines, Dataflows Gen2, Spark Notebooks; Medallion architecture, ETL/ELT frameworks; Azure AD/Entra ID, security, and data governance; SQL, Python, DAX, M Query; DevOps, CI/CD for Fabric & Power BI (bonus). • Ability to design enterprise scale architectures. • Strong communication and stakeholder engagement. • Experience mentoring technical teams and driving technology adoption. Key Responsibilities • Architect, design, and implement enterprise scale analytics solutions using Microsoft Fabric as the core platform. • Define best practices, governance models, and operating frameworks for Fabric capacities, workspaces, domains, and pipelines. • Lead migration strategies from legacy data platforms to Fabric (e.g., Azure Data Lake, Synapse, SQL, Power BI). • Build and optimize Data Engineering pipelines using Dataflows Gen2, Pipelines, Lakehouses, Notebooks, and Warehouse objects. • Implement medallion architecture, delta tables, ingestion frameworks, and Fabric pipelines. • Manage, optimize, and partition large scale datasets for performance and cost efficiency. • Design and manage OneLake data architecture, shortcuts, security layers, domains, and storage policies. • Implement governance frameworks including data security, sensitivity labels, RBAC, data lineage, and cataloging. • Optimize OneLake usage across multi‑domain analytics environments. • Build highly optimized Power BI semantic models connected to Fabric Lakehouses/Warehouses. • Implement enterprise BI practices: data modeling, row level security, incremental refresh, composite models, Direct Lake. • Provide performance tuning and best practices for large datasets and complex reporting scenarios. • Work closely with business stakeholders, data scientists, domain leads, and engineering teams to translate business needs into Fabric based solutions. • Provide mentoring, technical leadership, and subject matter expertise to internal teams. • Stay current with Microsoft's evolving Fabric roadmap and bring innovative capabilities into the organization. Benefits Client offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, company paid holidays, personal days, sick leave. • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada). • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada). • Life and disability insurance. • Employee assistance programs. • Other benefits as provided by local policy and eligibility.