Data Platform Architect

CEVA Animal Health, LLC
Libourne, France
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Architectural Patterns Data Architecture Information Engineering Data Infrastructure Data Security Data Streaming Data Processing Snowflake Data Layers Information Technology Tools for Reporting

Job 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.

Requirements

  • 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.

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