Data Architect

RESPONSIBILITIES

• 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.