About the role
Cebu Pacific is always up for new challenges, enabling our teams to stay at the forefront of agile and technological innovations. Pursuing a career under Information Technology at Cebu Pacific will enable you to play a pivotal role in shaping and securing the airline’s digital landscape from business analytics, system architecture, technology engineering, project management, cybersecurity, and cloud solutions. At Cebu Pacific, we build more than just technology—we create solutions that fuel the future of travel.
Bring your technical expertise to the team and be a moment maker in the ever evolving field of Information Technology as an Analytics Engineer. Visit our Careers site to learn more about how your moment matters at Cebu Pacific: Cebu Pacific Careers Site
The Analytics Engineer (Data Domain Architect) is responsible for designing, building, and maintaining enterprise data products that support analytics, reporting, self-service BI, and AI initiatives across Cebu Pacific. The role translates business requirements provided by Data Product Managers into trusted, scalable, and reusable data products through conceptual, logical, dimensional, and semantic data modeling. The Analytics Engineer owns domain data models, business definitions, semantic layers, metadata, lineage requirements, and analytics-ready datasets. Working closely with Data Engineers, AI Engineers, Data Governance, and business stakeholders, the Analytics Engineer ensures that data products are governed, documented, high quality, and aligned with enterprise standards and industry models. The Analytics Engineer is accountable for how data products are designed and built, ensuring they can be effectively reused across analytics, operational reporting, and AI use cases.
Primary Responsibilities: Data Modeling & Domain Architecture
Design and maintain conceptual, logical, dimensional, and semantic data models for assigned business domains.
Develop scalable and reusable domain architectures that support analytics, reporting, and AI use cases.
Translate business requirements into data structures, entity relationships, hierarchies, and business rules.
Align data models with enterprise architectur…
