- Company Name
- GLOBE GROUPE
- Job Title
- Data architect - vp data F/H
- Job Description
-
**Job title:** Data Architect – VP Data
**Role Summary:**
Lead the design, governance, and industrialization of the organization’s next‑generation data platform centered on Snowflake. Manage a small team of Data Engineers, collaborate with cross‑functional stakeholders, and ensure the architecture meets performance, scalability, and security requirements.
**Expectations:**
- Architect and evolve a robust, scalable data ecosystem.
- Implement best practices in versioning, CI/CD, and DataOps.
- Deliver high‑quality, maintainable pipelines and documentation.
- Lead, mentor, and grow a technical team of Data Engineers.
- Collaborate closely with Data, BI, DevOps, and business units to align data strategy with corporate needs.
**Key Responsibilities:**
1. **Architecture & Governance** – Design the group data architecture, define data models (Kimball, Data Vault, Snowflake Schema), and establish data quality & reliability standards (tests, validations, monitoring).
2. **Documentation** – Create and maintain technical and functional documentation: metadata, lineage, naming conventions, cataloging.
3. **DataOps & CI/CD** – Deploy Liquibase and dbt for version control and automatic deployment; define CI/CD pipelines (GitHub, Cloud).
4. **Team Management** – Lead a team of 2 Data Engineers: prioritize work, track progress, coach skill development, and promote best practices.
5. **Orchestration & Automation** – Configure and maintain Apache Airflow as the central workflow orchestrator for ETL/ELT jobs; manage job scheduling, failure recovery, and monitoring.
6. **Collaboration** – Work with Head of Data & AI, DevOps, BI, and business stakeholders to translate requirements into engineering solutions and communicate data insights.
7. **Maturity & Process Improvement** – Contribute to the evolution of data processes and methods, supporting the broader Data department’s growth.
**Required Skills:**
- Minimum 5 years in data architecture, data engineering, or DataOps.
- Strong expertise in Snowflake, dbt, Apache Airflow, and versioning tools (Liquibase or equivalents such as Dagster, Fivetran, Prefect).
- Proficient in Python and SQL; experience in cloud data environments (Azure or AWS).
- Advanced data modeling (Kimball, Data Vault, Snowflake Schema).
- Technical leadership and effective team management.
- Excellent documentation, communication, and collaboration abilities.
**Required Education & Certifications:**
- Bachelor’s degree (or higher) in Computer Science, Engineering, or related field.
- Relevant certifications in Snowflake, Data Platforms, or Cloud (e.g., Snowflake Certified Data Engineer, AWS/Azure Data Analytics).
Neuilly-sur-seine, France
On site
Senior
16-10-2025