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# Data Platform Architect

- **Company:** CEVA Animal Health, LLC
- **Location:** Libourne, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Architectural Patterns, Data Architecture, Information Engineering, Data Infrastructure, Data Security, Data Streaming, Data Processing, Snowflake, Data Layers, Information Technology, Tools for Reporting
- **Published:** August 5, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=aadc1c70fac56cf2

## About the Role

* Higher education degree in Computer Science, Data, or a related field.
 * 5 to 10 years of experience in Data Engineering, Data Architecture or Data Platform Architecture.
 * Strong expertise in Snowflake and modern Data Architectures.
 * Solid knowledge of data modelling, ingestion and transformation.
 * Hands-on architect with a strong interest in development and technical topics.
 * Technical leadership, agility, pragmatism and an affinity for building and evolving environments.
 * Fluent English, both written and spoken.

## Description

Vision & Strategy

 * Define the target Data Platform architecture and contribute to its technology roadmap.
 * Support key technical decisions related to the evolution of the Snowflake environment.
 * Contribute to the Group's Data & AI strategy.

Design & Delivery

 * Design the architecture of the platform, data layers and BI capabilities (reporting tools and capabilities).
 * Define architectural models and patterns adapted to different use cases.
 * Contribute to the development and industrialisation of platform components.
 * Design data flows (ingestion, transformation, exposure).

Governance, Quality & Compliance

 * Ensure the security, integrity and compliance of the Data Platform.
 * Implement secure data access models.
 * Define and promote technical and data modelling standards.

Continuous Improvement & Innovation

 * Optimise platform performance and data processing workloads.
 * Drive cost optimisation and usage management initiatives within the Snowflake environment.
 * Integrate relevant technological developments to enhance platform capabilities.

Collaboration & Technical Leadership

 * Support Data Engineering teams in technical and architectural decision-making.
 * Promote standards and best practices across the organisation.
 * Work closely with business and technical teams to align the architecture with business needs.


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