Senior Data Architect
On-siteCourbevoie, Île-de-France, France
Job Summary
Design and evolve the modern data platform using Snowflake, dbt, Python, Airflow, AWS, Fivetran, and Prometheus. Define end-to-end architectures covering ingestion, integration, transformation, modelling, serving, and observability to connect business systems across the software sales and management chain. Conduct technical spikes and proof-of-concepts to evaluate tools and patterns, while promoting pragmatic engineering practices including code quality, version control, CI/CD, and testing. Collaborate with data engineers, AI engineers, and system developers to translate requirements into scalable, secure solutions, evaluating trade-offs across cost, performance, and delivery speed. Ensure the platform supports analytics, feature engineering, GenAI use cases, and AI-enabled decision-making within a Data Mesh or Lakehouse framework.
Required Qualifications
- 6+ years of experience in Data Engineering, Data Architecture, or related roles
- Snowflake
- dbt
- Python
- AWS services such as S3, Lambda, IAM, Glue, etc.
- Fivetran or similar ingestion/integration tools
- Strong understanding of ETL/ELT design patterns and modern cloud data warehouse architectures
- Experience designing scalable, secure, and maintainable cloud data platforms
- Experience with data modelling, data integration, and serving data for BI/AI, analytics, or data products
- Ability to create high-quality architecture diagrams and technical documentation
- Strong analytical thinking, structured problem-solving, and communication skills
- Ability to explain complex technical concepts to both technical and non-technical stakeholders
Desired Qualifications
- Experience with Data Mesh, data products, Lakehouse architecture, or event-driven architecture
- Hands-on experience with other data platforms such as Databricks, BigQuery, Redshift, or Microsoft Fabric
- Experience with C4 Model, TOGAF principles, or architecture governance frameworks
- Exposure to ML/AI data pipelines, feature engineering, model lifecycle, or GenAI-enabled data products
- Experience leading end-to-end implementation of data solutions
- Good understanding of software engineering and DevOps best practices
- dbt certification, such as dbt Analytics Engineering Certification
- Snowflake certifications, such as: SnowPro Core, SnowPro Advanced: Architect, SnowPro Advanced: Data Engineer
- AWS certification, especially: AWS Certified Solutions Architect – Associate
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