Senior Data Engineering Expert

Job Title

Senior Data Engineering Expert

We are seeking a highly experienced Senior Data Engineering Expert with deep expertise in the Airline IT domain to lead the design, development, modernization, and governance of enterprise-scale data platforms and data integration ecosystems. The ideal candidate will possess extensive experience in building and managing batch and real-time data pipelines, large-scale ETL frameworks, cloud-based data platforms, and enterprise data management solutions supporting airline operations, customer experience, revenue management, commercial analytics, and regulatory reporting.

The role requires technical leadership in modern data engineering technologies including Databricks, Apache Spark (Scala), Delta Lake, Data Warehousing, Database Management Systems, Master Data Management (MDM), and enterprise data integration platforms.

• Define and implement enterprise-wide data architecture strategies supporting commercial, digital, customer, and operational business functions.
• Design scalable, resilient, and secure data platforms that enable analytics, reporting, machine learning, and operational decision‑making.
• Lead the modernization of legacy data environments toward cloud‑native Lakehouse architectures and enterprise data ecosystems.
• Establish data engineering standards, architectural principles, governance frameworks, and best practices across the organization.

• Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions, including Reservations and Passenger Service Systems (PSS), Revenue Management and Pricing, Loyalty Programs, Customer Relationship Management (CRM), Customer Data Platforms (CDP), Digital Engagement and Mobile Applications, Customer Analytics and Personalization, and Commercial Performance and Regulatory Reporting.

• Architect and develop scalable data ingestion, transformation, and serving layers supporting both batch and real-time processing requirements.
• Design reusable and metadata‑driven ETL/ELT frameworks capable of handling large volumes of transactional, operational, and customer data.
• Establish enterprise integration patterns leveraging APIs, event‑driven architectures, messaging technologies, and hybrid connectivity models.
• Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability capabilities.
• Drive automation of deployment, orchestration, monitoring, recovery, and operational support processes.

• Design and implement streaming architectures that provide near real‑time operational visibility and business insights.
• Enable event‑driven data processing capabilities supporting customer engagement, disruption management, operational performance monitoring, and decision support.
• Ensure scalability, reliability, and performance of real‑time data processing platforms.

• Establish enterprise Master Data Management (MDM) strategies and governance frameworks.
• Define and govern master data domains including customers, flights, airports, aircraft, crew, and enterprise reference data.
• Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.
• Ensure compliance with security, privacy, regulatory, and corporate governance requirements.

• Provide technical leadership and direction across data engineering and architecture teams.
• Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence.
• Collaborate closely with business stakeholders, product owners, enterprise architects, airline operations teams, and executive leadership.
• Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Experience in Data Engineering, Data Architecture, Data Platform Engineering, or Enterprise Data…