About the role

Senior Data Engineer driving end-to-end implementation of Microsoft Fabric. Leading data architecture design and technical solutions for data transformation.

Responsibilities

Drive the end-to-end implementation of Microsoft Fabric across the organization.
Lead the setup of ETL/ELT pipelines, design and implement the bronze, silver, and gold layers of our data Lakehouse.
Oversee the configuration of key Fabric components including Data Factory, One Lake, and Power BI.
Explore advanced capabilities such as Microsoft Copilot to accelerate analytics and automation.
Collaborate with the Data & Analytics (D&A) team and business stakeholders to translate business needs into scalable data architecture.
Build and optimize ETL/ELT pipelines using Microsoft Data Factory, Dataflows Gen2, and Fabric Data Engineering environments.
Engage with executives and functional leaders to establish metrics, strategies, and implement roadmaps for enterprise-wide analytics.
Curate and maintain a repository of data architecture principles, design patterns, and reusable components for data engineers and integrators.

Minimum 7+ years of professional IT experience across multiple organizations
Proven track record in end-to-end data platform implementations, preferably within the Microsoft Azure and Fabric ecosystem.
Expertise in Data Strategy and Architecture (strongly desired)
Data Lakehouse / Data Warehouse design
ETL/ELT frameworks and orchestration
Data Integration and Management
Data Quality, MDM, and Enrichment
Business Intelligence and Analytics (Power BI, Fabric Warehouse)
Hands-on experience with Microsoft Synapse, Azure Data Factory, SQL, Spark, and data modeling tools.
Exceptional communication, presentation, and stakeholder management abilities.
Strong collaboration and relationship-building skills across technical and non-technical teams.
Bilingual proficiency in French, Spanish or German is preferred.