Senior Data Architect

Project overview

We are looking for a Senior Data Architect to work with one of our clients, an international software publisher, on the design, evolution, and optimization of its modern Data platform.

You will be involved in Data architecture and engineering projects, within a demanding Cloud technological environment, relying notably on Snowflake, dbt, Python, Airflow, AWS, Fivetran, Microsoft Copilot, and Prometheus.

Your role will consist of designing high-performing, scalable, and secure Data architectures, while ensuring the quality, reliability, and accessibility of data for business, analytical, and AI needs.

Your main missions will be:

Required skills:

Additional appreciated skills:

Profile sought:

We are looking for an experienced Senior Data Architect with at least 6 years of experience in Data Engineering, Data Architecture, or similar roles.

You have a mastery of modern Data architectures and solid technical expertise in Snowflake, dbt, Python, and data integration tools like Fivetran.

You are capable of intervening across the entire design and evolution cycle of a Data platform, from needs analysis to architecture definition, solution implementation, and optimization.

You have a good understanding of issues related to data governance, security, performance, and valorization in complex Cloud environments.

Autonomous, rigorous, and with excellent analytical skills, you can solve complex technical problems and communicate effectively with technical and non-technical stakeholders.

Your ability to work in an international English-speaking environment and collaborate with multidisciplinary teams will be essential for the success of this mission.

Sector: International software publisher

• Design, evolve, and optimize the architecture of the Cloud Data platform.
• Define and implement modern, scalable, secure, and maintainable Data architectures.
• Design and develop ETL/ELT data pipelines.
• Deploy and optimize data storage and processing solutions with Snowflake.
• Design and maintain data transformations with dbt.
• Develop Data scripts and processes in Python.
• Set up and orchestrate Data workflows with Apache Airflow.
• Ensure data integration and ingestion with Fivetran or equivalent tools.
• Participate in the operation and evolution of Data infrastructures on AWS.
• Integrate Microsoft Copilot into Data uses and solutions.
• Ensure data quality, security, performance, and availability.
• Design data models adapted to BI, Analytics, AI, and Data Products needs.
• Produce architecture diagrams and detailed technical documentation.
• Collaborate with Data Engineering, BI, AI teams, and various business stakeholders.
• Participate in defining best practices for architecture, development, and DevOps.
• Contribute to the continuous improvement of Data solutions and their industrialization.
• Solid experience in Data architecture, Data Engineering, and Cloud Data platform design.
• Excellent command of Snowflake and modern Cloud Data Warehouse architectures.
• Proven experience with dbt for data transformation and modeling.
• Very good command of Python for developing Data processes and pipelines.
• Experience with Fivetran or similar data ingestion and integration tools.
• Knowledge and use of Microsoft Copilot.
• Good understanding of ETL/ELT architectures and data integration processes.
• Experience in designing scalable, secure, and maintainable Data platforms.
• Mastery of data modeling techniques and analytical architectures.
• Good knowledge of Cloud environments, particularly AWS.
• Ability to produce quality architecture diagrams and technical documentation.
• Good understanding of issues related to BI, Analytics, and Artificial Intelligence.
• Fluent professional English is essential, in an international context.
• Experience with Data Mesh, Data Lakehouse, or Event-Driven architectures.
• Knowledge of other Data platforms: Databricks, BigQuery, Redshift, or Microsoft Fabric.
• Experience with Machine Learning pipelines, Feature Engineering, or GenAI solutions.
• Knowledge of orchestration and monitoring tools such as Airflow and Prometheus.
• Experience in end-to-end Data project management.
• Good command of DevOps and Software Engineering practices.
• dbt Analytics Engineering, SnowPro Core, SnowPro Advanced Architect, or SnowPro Advanced Data Engineer certifications are appreciated.

Project details

Full remote

Experience: 6 years minimum

English: Mandatory

Early November 2026

Long-term assignment

• Start: 2026-11-02
• Duration: 12 mois
• Remote: remote
• Location: Télétravail, FR
• Languages: French