Overview As Data Architect for PepsiCo International Digital Commerce, you will define and scale the data foundations that enable trusted, searchable data across markets. You will design conceptual to physical data models, govern metadata, and set standards used by engineering teams. You will partner with enterprise architecture and Data Engineering to align on reference designs and data sharing. You will shape the data strategy for market expansion and new data domains, in a startup‑like, collaborative environment.
Compensaciones / BeneficiosHybrid work modelentrepreneurial environmentprofessional growth opportunitieswellbeing and financial benefitsvolunteering opportunities ResponsabilidadesDesign and maintain data models across the Digital Commerce domain to ensure scalability and business alignmentDefine conceptual, logical, and physical architectures supporting data products and use casesOwn metadata management architecture for discoverability and understandingEstablish data modelling standards and patterns for Data Engineering teams across regional podsDefine and evolve data architecture best practices and reference designs for common scenariosReview data designs to ensure alignment with standards and improve data accessibilityRepresent International Digital Commerce in PepsiCo's Data Architecture community and align with enterprise standardsCollaborate with Data Engineering on data lineage, quality, and metadata strategyProvide architectural guidance on new initiatives (market expansion, new data domains) and assess emerging technologiesPartner with Solution Architect on end-to-end architecture decisions spanning data and architecture layers Requisitos principales6+ years of experience in data engineering and architectureProven Data Architect in a complex, multi-domain environmentTrack record of scaling data models across markets or business areasExperience establishing data architecture standards and governance in growing organizationsBackground working with enterprise architecture functionsDeep expertise in conceptual, logical, and physical data modellingStrong knowledge of modern data platforms (Snowflake, cloud data warehouses) and architecture impactAbility to influence without direct authority through collaboration with Data Engineering teamsStrong communication skills to translate concepts for both technical and non-technical audiencesComfortable representing dCommerce in enterprise forums within matrix organizationsstrong communicationinfluence without authoritycross-functional collaborationdata modelling (conceptual/logical/physical)metadata managementdata governance