Senior Data Architect

A global trade association representing approximately 350 airlines, accounting for over 80% of worldwide air traffic. The organization is committed to representing, leading and serving the aviation industry by developing commercial and safety standards, advocating for industry policy, and offering services such as financial solutions and operational safety audits.

Data Modeler/Data Architect to support the definition of core data structures and API payloads for a large-scale aviation industry platform integrating AI platforms and airline systems.

The role is focused on the setup phase of the initiative, defining data models, structures, flows, and caching principles required for orchestration, rather than implementing them.

It ensures that data is semantically consistent, normalized, and AI-ready, and provides a clear architectural specification that guides subsequent build and execution phases.

Data Modeler/Data Architect to support the definition of core data structures and API payloads for a large-scale aviation industry platform integrating AI platforms and airline systems.

The role is focused on the setup phase of the initiative, defining data models, structures, flows, and caching principles required for orchestration, rather than implementing them.

It ensures that data is semantically consistent, normalized, and AI-ready, and provides a clear architectural specification that guides subsequent build and execution phases.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Define a canonical data model covering i.e. offers, orders, services, AI interactions, and identity, ensuring alignment across airline APIs, IATA standards, and MCP-based interactions
• Establish data normalization and mapping rules to harmonize airline-specific schemas and industry standards into a single consistent representation
• Specify AI/MCP data structures and contracts, ensuring AI-generated requests can be translated into structured airline API calls and responses remain deterministic and consumable
• Define the caching architecture, including:
  o Data to be stored (context, responses, aggregated offers, metadata)
  o Lifecycle rules (TTL, refresh, reuse, consistency)
  o Trade-offs between performance and data accuracy
  o Alignment with canonical models and orchestration needs
• Design end-to-end data flows from AI interaction through orchestration to airline systems, including mappings, transformations, and aggregation principles
• Define data governance standards, including metadata, lineage (logical level), documentation, and compliance with enterprise data policies
• Ensure the overall design provides a single canonical representation of airline content, scalable to future capabilities such as booking, payment, and additional services

Deliverables

• Logical/conceptual data models
• Defined data architecture blueprint, including AI interaction, caching, and data flows
• API / message data structure definitions
• Data dictionaries and documentation
• Mapping to industry standards

Experience & Skills

• 5+ years of experience in data modelling (logical/conceptual)
• Strong understanding of API data structures (REST, JSON/XML payloads) and AI/MCP interaction models
• Familiarity with industry data standards (aviation, travel, or similar is a plus)
• Experience with modelling tools (e.g., ER tools, UML, data modelling platforms)
• Strong documentation and communication skills