Data Architect

Purpose:

• Responsible for designing and developing data solutions for Data Agile Release Train, ensuring the alignment of solution designs conforming to architectural standards, business requirements, budgets & strategy.

Accountabilities:

• Works within Enterprise Data Management (EDM) / Data Agile Release Train (DART) (embedded as part of the team), to develop solution and technology designs, standards and builds architecture runways.

• Works closely with Technology & Architecture to ensure the solutions defined & developed align with the agreed technology roadmaps, business capabilities, technology strategy and are implemented as designed.

• Ensures solution and technology architecture standards, governance and principles are implemented effectively using the clients Architecture Frameworks and Tools.

• Define and govern the enterprise data architecture, including conceptual, logical, and physical data models

• Design and evolve the enterprise data platform architecture using Databricks and other lakehouse technologies.

• Establish architecture patterns for data ingestion, integration, and pipelines, including batch, streaming, and event-driven data processing across enterprise systems.

• Architect and govern the use of Customer Data Platforms (CDP) to enable customer profile unification, deduplication, identity resolution, and activation for customer engagement and personalisation.

• Implement and enforce data governance, data quality, metadata, lineage, privacy, and secure data access standards, enabling trusted data products for analytics, AI, and business applications.

Education & Experience:

• Solution architecture and technology expertise with a minimum of 8 years of experience in complex IT architecture environments. Airline industry experience strongly desirable. • Track record of delivering architecture solutions for data warehouse, big data, business intelligence and data science initiatives.

• Hands-on data modelling experience; familiarity with airline data (e.g. PNR, TKT, etc.) strongly desirable.

• Strong practical knowledge and experience of concepts such as data lineage, data quality, data lifecycle management, reference data management, metadata management.

• Familiarity with data security and data privacy concepts and concerns.

• Bachelor’s degree in Computer Science or related degree is desirable. One or more Certification in Solution and/or Enterprise Architecture mandatory – e.g. TOGAF, SAFe Architect, Open Certified Architect, ISEB Architecture, UML or on ArchiMate

• Experience in seeking the alignment of business and IT, driving common approaches, delivering sustainable, re-usable solutions using both agile and waterfall.