Jet2Travel Technologies (UK's third largest airlines and the largest tour operator), have set up a state-of-the-art Technology and Innovation Centre in Pune, India. We're on a mission to improve the agility, consistency and quality of how we design and deliver trusted analytical data assets for the business.

As part of this, we're establishing dedicated Analytics Design Squads to bring together Data Information Architecture, Data Governance, Business Analysis and domain expertise earlier in the delivery lifecycle. These squads are responsible for producing high-quality analytics architecture artefacts - including Conceptual Data Models, Logical Data Models and supporting design materials - before delivery teams commit to building the solution.

We're looking for a talented Data Information Architect / Data Modeller to join our Analytics Design Squads and play a key role in shaping how data is understood, modelled, governed and delivered across our Snowflake analytics platform.

What you'll be doing :

- Developing high-quality Logical Data Models that translate agreed business concepts into clear, structured and delivery-ready analytical designs.

- Producing Data Flow Diagrams and supporting artefacts that show how data moves from first-party and third-party source contracts through our analytical platform layers and into our data warehouse, datamarts and end data products.

- Mapping data across our medallion-style architecture, helping to define how data progresses from raw ingestion through transformation, curation and into analytical consumption.

- Supporting Senior Data Information Architects in the creation and refinement of Conceptual Data Models, ensuring logical designs remain aligned to the agreed business concepts, definitions and relationships.

- Working as part of an Analytics Design Squad, collaborating with Data Governance, Business Analysts, Data Engineers, Product Owners, Data Owners, Stewards and domain specialists to shape data assets before delivery begins.

- Helping move data modelling earlier in the delivery lifecycle, supporting a more proactive, design-led approach that gives delivery teams clearer, better-quality artefacts before they commit to build.

- Producing and maintaining supporting design artefacts, including source-to-target mappings, transformation logic, naming conventions, data definitions, data quality rules and metadata required to support delivery.