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About the Role

Empower your career, be supported by a global community, and reimagine what's possible with Capgemini. Help leading organizations unlock technology's value to build a more sustainable and inclusive world.

Responsibilities

• Lead end-to-end architecture and implementation of Microsoft Fabric solutions.
• Design scalable, secure, and high-performing enterprise data platforms.
• Develop data architecture standards, best practices, and governance frameworks.
• Create enterprise data models, data lakehouse architectures, and semantic layer strategies.
• Provide technical leadership for large-scale data transformation initiatives.
• Establish architecture roadmaps aligned to business objectives and digital transformation strategies.
• Architect and implement solutions utilizing Fabric Data Factory, Fabric Data Engineering, Fabric Data Warehouse, Fabric Lakehouse, Fabric Real-Time Analytics, Fabric Data Science, Fabric Power BI, OneLake, and Copilot in Fabric.
• Optimize workloads for scalability, performance, and cost efficiency.
• Lead Fabric adoption and modernization programs.
• Design and oversee enterprise ETL/ELT frameworks.
• Build and optimize data ingestion, transformation, and orchestration pipelines.
• Integrate structured, semi-structured, and unstructured data sources.
• Develop data migration strategies from legacy platforms to Microsoft Fabric.
• Implement data quality, validation, and reconciliation processes.
• Define enterprise reporting and analytics architectures.
• Design semantic models and business-friendly data marts.
• Enable self-service BI through Power BI and Fabric.
• Establish KPI frameworks, executive dashboards, and enterprise reporting standards.
• Optimize data models and reporting performance.
• Lead and mentor teams of Data Engineers, BI Developers, Data Analysts, and Data Scientists.
• Conduct architecture reviews and code reviews.
• Define development standards and engineering best practices.
• Drive Agile delivery and technical governance activities.
• Act as the primary technical escalation point for complex Fabric solutions.
• Implement enterprise data governance frameworks.
• Define metadata management and data lineage strategies.
• Ensure regulatory and compliance requirements are met.
• Implement security controls, role-based access, and data protection policies.
• Support audit and regulatory requirements.

Requirements

• Experience with Microsoft Fabric Platform: Fabric Data Factory, Fabric Data Engineering, Fabric Data Warehouse, Fabric Lakehouse, Fabric Real-Time Analytics, Fabric Data Science, Fabric Power BI, OneLake, Copilot in Fabric.
• Experience with enterprise ETL/ELT frameworks.
• Experience integrating structured, semi-structured, and unstructured data sources.
• Experience with data migration strategies from legacy platforms to Microsoft Fabric.
• Experience with data quality, validation, and reconciliation processes.
• Experience defining enterprise reporting and analytics architectures.
• Experience designing semantic models and business-friendly data marts.
• Experience enabling self-service BI through Power BI and Fabric.
• Experience establishing KPI frameworks, executive dashboards, and enterprise reporting standards.
• Experience optimizing data models and reporting performance.
• Experience leading and mentoring teams of Data Engineers, BI Developers, Data Analysts, and Data Scientists.
• Experience conducting architecture reviews and code reviews.
• Experience defining development standards and engineering best practices.
• Experience driving Agile delivery and technical governance activities.
• Experience acting as the primary technical escalation point for complex Fabric solutions.
• Experience implementing enterprise data governance frameworks.
• Experience defining metadata management and data lineage strategies.
• Experience ensuring regulatory and compliance requirements are met.
• Experience implementing security controls, role-based access, and data protection policies.
• Experience supporting audit and regulatory requirements.

Skills

• Microsoft Fabric
• Data Lakehouse
• Data acquisition
• Microsoft Power BI
• Agile methodology
• Analytics architecture
• Business intelligence
• Business reporting
• Code review
• Data analysis
• Data architecture
• Data engineering
• Data factory
• Data governance
• Data lineage
• Solution Architecture
• ETL/ELT
• Data modeling
• Data migration
• Data quality
• Reporting
• Dashboards
• Technical leadership
• Mentoring
• Security
• Compliance

Location

• US

Work Type

• Full-time

Experience Level

• Lead
• Senior

Salary/Compensations

• 125,000 - 135,000

Benefits

• Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• 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

About the Company

• Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
• It is a responsible and diverse group of 340,000 team members in more than 50 countries.
• With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
• It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

• Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
• All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.