Design and lead the implementation of scalable data architecture and data platform solutions to support complex business needs in the airline industry.
Define and translate business requirements into data architecture, data models, and system design, ensuring alignment with business objectives.
Support presales activities by working with sales and consulting teams to design end-to-end data platform solutions for prospective clients.
Participate in client meetings, workshops, and technical discussions to understand data challenges and propose architecture solutions.
Design modern data architectures, including data lakes, data warehouses, and real-time data pipelines using cloud platforms (AWS, Azure, or GCP).
Define data integration strategies across multiple systems (e.g., operational systems, customer platforms, third-party sources).
Establish data governance, data quality, and data security frameworks to ensure reliable and compliant data management.
Contribute to solution design, technical proposals, and architecture blueprints, helping secure project
approval and accelerate contract signing.
Collaborate with data engineers and analysts to ensure successful implementation and scalability of the data platform.
Communicate complex architecture concepts in a clear and business-friendly manner to both technical and non-technical stakeholders.
Stay up to date with the latest developments in data architecture, cloud data platforms, and big data technologies.
REQUIREMENTS
Master's or PhD degree in Computer Science, Information Systems, Engineering, or a related field.
8+ years of experience in data architecture, data engineering, or large-scale data platform design.
Strong expertise in data architecture design, including data lakes, data warehouses, and modern data platforms.
Proven experience with cloud platforms such as AWS, Azure, or GCP, and related data services (e.g., S3, Redshift, BigQuery, Synapse).
Strong knowledge of data modelling (conceptual, logical, physical) and data integration patterns (ETL/ELT, streaming, APIs).
Experience designing and implementing end-to-end data solutions, from data ingestion to storage,transformation, and consumption.
Solid understanding of data governance, data quality, and data security best practices.
Strong communication in English and presentation skills, with the ability to explain architecture concepts to business stakeholders and clients.
Experience supporting client-facing engagements, presales activities, or solution architecture consulting is highly preferred.
Experience in the airline, aviation, or travel industry is a strong advantage, particularly in handling operational, customer, or transactional data.
Ability to work effectively with cross-functional teams, including sales, consulting, engineering, and business stakeholders.
