Enterprise AI Data Architect (Data Mesh & AI)

Olympus Corporation; Coimbra; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Vacation policy (24 days + birthday)

On-site parking

Descripción de la vacante

Olympus Corporation is seeking an experienced Data Architect to lead the architecture of enterprise data products and AI-ready foundations across the global data ecosystem. You will define standards for data contracts, metadata and interoperability, and champion Data Mesh principles with domain ownership.

Build scalable data architectures enabling analytics, ML, Generative AI, and intelligent agents. You will partner with Data Product Owners, Analytics, Engineering, and business leaders to

Formación

• 7+ years designing enterprise-scale data architectures.
• Experience with Snowflake and cloud data platforms, ideally Azure.
• Knowledge of Data Mesh, data products and AI-ready foundations.

Responsabilidades

• Lead architecture strategy for enterprise data products and AI-ready foundations.
• Define data contracts, metadata strategies and interoperability standards.
• Champion Data Mesh principles and domain ownership across teams.
• Enable self-service analytics with reusable, discoverable data assets.

Conocimientos

Enterprise data architecture

Data Mesh

Semantic models

Ontology frameworks

Knowledge graphs

AI readiness

Cloud data platforms

Snowflake

Azure

Data governance

Educación

Degree in Computer Science / Data Science / Information Systems / Engineering / Mathematics

Herramientas

Snowflake

Azure

Semantic Layer technologies

Knowledge Graphs & Ontologies

Descripción del empleo

Olympus Corporation is seeking an experienced Data Architect to lead the architecture of enterprise data products and AI-ready foundations across the global data ecosystem. You will define standards for data contracts, metadata and interoperability, and champion Data Mesh principles with domain ownership.

Build scalable data architectures enabling analytics, ML, Generative AI, and intelligent agents. You will partner with Data Product Owners, Analytics, Engineering, and business leaders to