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# Data Information Architect

- **Company:** Jet2.com and Jet2holidays
- **Location:** Leeds, UK
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Profiling, Data Governance, Data Structures, Data Warehousing, Relational Databases, Logical Data Models, SQL Databases, Sql Optimization, Snowflake, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=59470d0a1731a2c2

## About the Role

* Proven experience creating logical data models and analytical data designs.
 * Strong dimensional modelling expertise using Kimball methodologies, including facts, dimensions, measures and grain.
 * Advanced SQL skills with experience investigating, profiling and analysing data.
 * Experience producing data flow diagrams, lineage documentation and source-to-target mappings.
 * Strong understanding of data warehousing, analytical platforms and reporting environments.
 * Experience working with large-scale relational databases or modern cloud-based analytical platforms.
 * The ability to translate business requirements into effective and scalable data solutions.
 * Excellent communication and collaboration skills with experience working in cross-functional teams.

Desirable experience includes Snowflake, Alation, modern data catalogue tools, medallion architecture and Agile delivery environments.

## Description

* Designing and developing logical and dimensional data models that support reporting, analytics and data products.
 * Translating business requirements and conceptual designs into practical, delivery-ready data structures and design artefacts.
 * Profiling and analysing source data using SQL to understand quality, completeness and suitability for analytical use cases.
 * Creating source-to-target mappings, transformation documentation, data flow diagrams and lineage views.
 * Working collaboratively within cross-functional Analytics Design Squads alongside Business Analysts, Data Governance specialists, Product Owners and Engineers.
 * Supporting the development of governed, reusable data assets and modelling standards across the organisation.
 * Identifying risks, dependencies and assumptions early in the design lifecycle to improve delivery outcomes.
 * Communicating complex data concepts clearly to both technical and non-technical stakeholders.


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