Data Platform and Engineering Manager, SEAA
Core
Building and maintaining reliable data ingestion pipelines, curated datasets, and semantic data models to enable trusted reporting, advanced analytics, and future AI-enabled data products.
Role type
Data Platform and Engineering Manager
Builds
Scalable, reusable data foundations serving BI dashboards, analytics, and AI solutions
Domain
Retail / Luxury Fashion (Chanel) + Data Engineering & AI Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design (ETL/ELT), Semantic layer design, SQL, Cloud data platforms (Microsoft Fabric/Databricks), Power BI development, Data quality & governance, Requirements translation
Preferred skills
AI-ready data thinking (RAG, conversational AI), Dashboard performance optimization, Cross-functional collaboration
Technologies
Microsoft Fabric, Databricks, Power BI, SQL
Responsibilities
Design and maintain data ingestion pipelines; Build semantic layers and curated datasets; Develop and optimize Power BI dashboards; Implement data quality checks and governance; Partner with Data Science/AI teams on data requirements; Translate business needs into technical data solutions
Seniority
Manager, hands-on technical leadership
