Expert Data

Main missions

• Design and define modern, scalable and secure data architectures.
• Supporting clients in the transformation of their data platforms and their migration to the cloud.
• Participate in the implementation and evolution of Data Platforms / Data Lake / Data Warehouse / Lakehouse.
• Define best practices for data ingestion, transformation, storage, processing and exposure.
• Addressing topics related to Data Governance, Data Quality, Data Security and Data Management.
• To study and integrate new data technologies into existing architectures.
• Supporting teams in the industrialization of data pipelines and processing.
• Participate in defining technical standards and technological choices.
• To monitor technological developments and propose innovative solutions tailored to business needs.
• To provide technical support to Data teams and contribute to knowledge sharing.

Technical expertise sought

• Data Engineering & Data Platform
• Data Lake / Data Warehouse / Lakehouse
• ETL/ELT and Data Pipeline Development
• Streaming / Real-time processing
• Big Data and Distributed Processing
• Data Integration & Data Transformation
• Cloud & New Data Technologies
• Significant experience in at least one cloud environment: Azure, AWS, GCP
• Technologies appréciées : Databricks Snowflake Microsoft Fabric BigQuery Synapse Spark Kafka Airflow dbt
• Data Governance & Data Management
• Data Governance
• Data Quality
• Data Catalog / Metadata Management
• Data Lineage
• Master Data Management
• Data Security & Privacy
• Implementation of Data & AI governance standards and frameworks
• Knowledge of new technological trends is a plus: Generative AI / GenAI, LLM, Vector Databases, RAG, Machine Learning, MLOps, AI Data Platforms

Qualifications

• Master's degree (Bac+5) in computer science, data science, engineering or equivalent field.
• Significant experience in Data / Data Engineering / Data Architecture environments.
• Solid understanding of modern data architectures.
• Ability to address complex issues and propose appropriate solutions.
• Good analytical and problem-solving skills.
• Ability to communicate with technical and business stakeholders.
• Professional English is essential; French is an advantage depending on the client context.

Soft Skills

• Analytical and synthesis skills
• Autonomy and ability to take initiative
• Curiosity and a strong interest in new technologies
• Ability to simplify complex technical subjects
• Collaborative spirit
• Customer service orientation and advisory skills

Desired Candidate Profile

Qualifications

• Master's degree (Bac+5) in computer science, data science, engineering or equivalent field.
• Significant experience in Data / Data Engineering / Data Architecture environments.
• Solid understanding of modern data architectures.
• Ability to address complex issues and propose appropriate solutions.
• Good analytical and problem-solving skills.
• Ability to communicate with technical and business stakeholders.
• Professional English is essential; French is an advantage depending on the client context.

Soft Skills

• Analytical and synthesis skills
• Autonomy and ability to take initiative
• Curiosity and a strong interest in new technologies
• Ability to simplify complex technical subjects
• Collaborative spirit
• Customer service orientation and advisory skills
• Ability to support and develop the skills of the teams

Experience level

• Expert / Senior (7 years of experience and more), with significant experience on complex Data projects and ideally on Cloud environments.