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Gazelle Global Consulting Limited seeks an experienced Information / Data Architect to support a major airline operations and supply chain transformation from Luton. The role is hybrid with 2-3 days onsite and a 12-month contract.
You will lead data architecture, information modelling, and governance across supply, demand, inventory and planning. Expertise in AWS, Databricks, Lakehouse and Delta Lake is essential for driving scalable cloud solutions.
Location: Luton (Hybrid, 2-3 days onsite)
Contract: 12 months, with potential for extension
We are seeking an experienced Information / Data Architect to support a major airline operations and supply chain transformation. This is an opportunity to shape the data architecture underpinning critical supply chain processes, ensuring information is integrated, governed and accessible to support operational planning and business decisions.
Key Responsibilities:
Lead data architecture and information modelling across supply, demand, inventory and operational planning.
Design scalable cloud data solutions using AWS and Databricks.
Develop conceptual, logical and physical data models.
Apply the SCOR framework, particularly Supply and Demand Planning.
Establish data integration, governance, quality and master data standards.
Define architecture designs, data flows and integration specifications.
Provide technical leadership across architecture and engineering teams.
Strong AWS and Databricks expertise, including Lakehouse and Delta Lake.
Extensive data modelling and enterprise data architecture experience.
Supply chain planning, demand forecasting and inventory optimisation.
Knowledge of SCOR, data mesh and event-driven architecture.
Experience integrating enterprise and operational systems.
Aviation, airline operations, maintenance planning or MRO experience would be advantageous.
Competitive contract rates and a 12-month initial engagement.
We cannot offer sponsorship for this role. Applicants must be UK citizens, hold Indefinite Leave to Remain (ILR), or have Dependant visa status.