Job Location : Newark, NJ (Onsite/Hybrid)

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.

Must Have

• 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-Medallion 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, Copy job.
• 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.

The base compensation range for this role in the posted location is: USD $90000 - $110786 Per Year.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini 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, depending on grade, 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