Jobs / Cap***
Microsoft Fabric Expert with Data Engineer
Cap*** · New York, NY, United States
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New York, NY, United States90,000-110,786 USD/yearlyHybrid
Remuneration
90,000-110,786 USD/yearly
Location
New York, NY, United States
Visa sponsorship
Sponsors visa
Job summary
Choosing Cap*** means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.
Benefits
DevOps, CI/CD for Fabric & Power BI (bonus)Package to all regular, full-time employees.In the U.And Canada, availableAre determined by local policy and eligibility and may include:Medical, dental, and vision coverage (or provincial healthcare coordination in CRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOtherAs provided by local policy and eligibility
Qualifications
- We are seeking a highly experienced Microsoft Fabric Expert with deep, hands‑on expertise across the entire Microsoft Fabric ecosystem.
- MUST HAVE
- 8+ years of total experience in Data Engineering / BI / Analytics.
- Microsoft Certifications (Fabric, Azure, Power BI) are a plus.
- Advanced experience with OneLake, shortcuts, security, governance, and workspace management.
- Strong Data Engineering background with deep knowledge of Delta Lake, PySpark, Fabric Notebooks, Pipelines, Copy job.
- Proven experience in building end‑to‑end analytics solutions on Fabric.
- Must have deep technical proficiency in
- Experience mentoring technical teams and driving technology adoption.
- Certifications and licenses, Relevant experience and
- required for this position.
- Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.
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.
Skills
CommunicationLeadership
Degrees
Associate
Industry
EducationEnergyHealthcareInsuranceLogistics
Company size
Enterprise