Senior Data Platform Architect – Data Lakehouse & MLOps

Jobtailor; Le Plessis-Robinson; Sur place; EUR 95 000 - 140 000; Plein temps

Résumé du poste

Jobtailor in Île-de-France seeks a senior Data Platform Architect to guide clients through the end-to-end implementation of data platforms, from scoping to deployment. You will oversee architecture design and technology choices to ensure scalable data ecosystems.

The role requires matching deep experience with modern data ecosystems (Data Lake, Lakehouse, Data Warehouse) and a strong track record with Databricks, Snowflake, and Azure Fabric, plus fluency in French and English for collaboration.

Qualifications

• Master's degree in engineering school or university with a scientific and technical focus.
• At least 8 years of experience.
• Experience in designing and implementing modern data platforms such as Data Lake, Data Lakehouse, and Data Warehouse.
• Knowledge of leading market solutions (Databricks, Snowflake, Azure Fabric, etc.).
• Expertise in relational, dimensional, and Data Vault modeling.
• Ability to collaborate in French and English (written and spoken).

Responsabilités

• Advise and support clients in all phases of implementing a data platform.
• Scoping and design of SQL and NoSQL architectures.
• Audit and assessment of existing systems.
• Definition of plans and roadmaps.
• Design of data platforms (cloud and on-premises).
• Implementation and industrialization (CI/CD, DataOps, MLOps).

Connaissances

Data Platform Design

SQL

NoSQL

Data Lake

Data Lakehouse

Data Warehouse

Databricks

Snowflake

Azure Fabric

Data Vault modeling

CI/CD

DataOps

MLOps

Fluent English

French cooperation

Formation

Master's degree in engineering or technical field

Outils

Databricks

Snowflake

Azure Fabric

Description du poste

Jobtailor in Île-de-France seeks a senior Data Platform Architect to guide clients through the end-to-end implementation of data platforms, from scoping to deployment. You will oversee architecture design and technology choices to ensure scalable data ecosystems.

The role requires matching deep experience with modern data ecosystems (Data Lake, Lakehouse, Data Warehouse) and a strong track record with Databricks, Snowflake, and Azure Fabric, plus fluency in French and English for collaboration.