Data Architect
Skills
About This Role
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.
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