[CDI] Head of Data plateform - RetailTech - (Python / Spark / Databricks / Airflow) - Paris 2
- Published on
About the Role
As the Head of Data Platform, you will lead a team of Data Engineers & DataOps Engineers. Your responsibility encompasses the architecture, industrialization, scalability, and reliability of the data platform.
Key Responsibilities
- Define the vision for the Data Platform team and structure its organization.
- Oversee operations related to data calculations and integrations.
- Design and optimize data pipelines using Lakehouse, ML, and analytics techniques.
- Ensure the quality, security, and compliance of data management operations.
- Act as a key interface with Product, Data Science, ML, Software, and business teams.
About the Technology Stack
Our technology stack includes:
- Python, Spark, Databricks, Airflow
- Kubernetes, Docker
- Kafka, Pub/Sub
- Distributed architecture and data best practices.
About the Company
Join a fast-growing scale-up in the Retail Tech sector that is building an innovative analytical data platform focused on processing vast amounts of data (IoT, computer vision, transactions, supply chain) to transform this richness into actionable insights for performance optimization in retail organizations.
Company Culture and Benefits
We offer a strategic position with significant autonomy and immediate impact. Work in a data-first environment that demands high technical standards, with a platform already utilized by major retail players. Enjoy a hybrid and supportive atmosphere conducive to innovation and professional development.