Data Architect, dCommerce: Shape Scalable Data Ecosystem

PepsiCo; Vitoria; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Global exposure

Learning opportunities

Wellbeing benefits

Volunteering opportunities

Descripción de la vacante

PepsiCo International dCommerce is seeking an experienced Data Architect to shape the foundations of a rapidly scaling data ecosystem. You will design data models, define metadata architecture, and set governance standards that make data accessible and trusted across International Digital Commerce.

You will collaborate with Data Engineering and cross-functional teams to ensure scalable, compliant data solutions that support market expansions and new data domains.

Formación

• 6+ years of experience in data engineering and architecture.
• Proven experience as a Data Architect in a multi-domain environment.
• Track record of defining and scaling data models across multiple business areas or markets.

Responsabilidades

• Design and maintain data models across the Digital Commerce domain, ensuring consistency and scalability.
• Define conceptual, logical, and physical architecture to support data products and operational use cases.
• Own metadata management architecture to make data discoverable and well-documented.
• Establish data modelling standards and patterns that Data Engineering teams implement across regional pods.

Conocimientos

Data modelling

Data architecture

Snowflake

Cloud data warehousing

Data governance

Stakeholder communication

Cross-domain collaboration

Architecture standards

Herramientas

Snowflake

Data lineage tools

Descripción del empleo

PepsiCo International dCommerce is seeking an experienced Data Architect to shape the foundations of a rapidly scaling data ecosystem. You will design data models, define metadata architecture, and set governance standards that make data accessible and trusted across International Digital Commerce.

You will collaborate with Data Engineering and cross-functional teams to ensure scalable, compliant data solutions that support market expansions and new data domains.