Expert Data

Design and define modern, scalable, and secure data architectures. Support clients in the transformation of their data platforms and their migration to the cloud. Participate in the implementation and evolution of data platforms, data lakes, data warehouses, and lakehouses. Define best practices for data ingestion, transformation, storage, processing, and exposure. Address topics related to data governance, data quality, data security, and data management. Study and integrate new data technologies into existing architectures. Support teams in the industrialization of data pipelines and processing. Participate in defining technical standards and technological choices. Conduct technological monitoring and propose innovative solutions tailored to business needs. 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

Popular technologies: 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

Target technological environment Data Engineering | Data Architecture | Cloud | Data Platform | Lakehouse | Databricks | Snowflake | Microsoft Fabric | Spark | Kafka | Airflow | dbt | Data Governance | Data Quality | GenAI | Machine Learning | MLOps

Desired Candidate Profile

Qualifications: Master's degree (Bac+5) in Computer Science, Data Science, Engineering, or a related 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. Strong analytical and problem-solving skills. Ability to communicate effectively with technical and business stakeholders. Professional English is essential; French is a plus 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

Expert/Senior experience level: 7+ years of experience, with significant experience on complex Data projects and ideally in Cloud environments.