About Us
HBX Group is a leading B2B ecosystem player in the TravelTech space, connecting and empowering businesses in the ever-evolving world of travel. Our cloud-based technology platforms offer fast and reliable access to a unique portfolio of travel products & services, while rich data and intelligence seamlessly connect supply and demand worldwide.
The Senior Data Platform Engineer is the responsible of HBX's Data & AI Platform, implementing the strategy, architecture, delivery and operational excellence of the technology ecosystem that supports all analytics, machine learning and artificial intelligence capabilities across the company.
Acting as the senior technology authority for the domain, the Principal Engineer drives platform evolution, governs architectural standards and ensures the successful delivery and operation of critical data services that enable decision-making across the organization.
Through close collaboration with Product, Engineering, Business and Executive stakeholders, the role ensures that the Data & AI Platform can support the company's growth ambitions while maintaining operational stability, service quality and technology excellence.
Own end-to-end responsibility for the reliability, performance and scalability of all Data, ML & AI platform, ensuring alignment with business objectives and technology strategy
Define and drive the technical roadmap and long-term evolution of the platform ecosystem, including data ingestion, transformation, analytics, machine learning and AI enablement capabilities, ensuring alignment with business objectives and technology strategy.
Act as the primary technology partner for senior business stakeholders, Product Directors, Engineering leaders and Executive Leadership
Mentor senior engineers and Team Leads, supporting their technical and leadership development
Assume end-to-end ownership of all Data Platform services, ensuring agreed service levels, platform availability, reliability and performance.
Exceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributors.
Strong command of English, both written and verbal.
# Deep expertise designing, operating and evolving enterprise-scale Data Platforms supporting Analytics, Machine Learning and AI workloads.
Strong understanding of modern Data Architecture patterns including Data Warehousing, Lakehouse, Data Mesh and Data Product concepts.
Strong experience with Snowflake architecture, performance optimization, security and governance.
Extensive experience with AWS cloud services and cloud-native data architectures.
Strong knowledge of data integration patterns including batch, streaming, CDC and event-driven architectures.
Experience supporting enterprise BI platforms such as Tableau and ensuring data product scalability and performance.
Solid understanding of machine learning lifecycle requirements, MLOps concepts and AI platform enablement.
Strong software engineering background with expertise in Python and SQL.
Deep knowledge of observability, monitoring, alerting and platform reliability engineering practices.
Experience implementing enterprise-grade access controls, auditing and lineage capabilities.
Experience with Great Expectations, Soda, Monte Carlo or similar data quality frameworks.
Knowledge of Kubernetes and container orchestration technologies.
Experience with FinOps and cloud cost optimization strategies.
Experience leading large-scale Data & AI transformation initiatives.
Exposure to global and distributed engineering teams.
10+ years of experience in Data Engineering, Platform Engineering or related technology leadership roles.
~Proven experience owning and operating business-critical data platforms at scale.
~ Strong track record of delivering large-scale Data, Analytics and AI programs.
~ Experience managing relationships with senior business and technology stakeholders.
~ Bachelor's or master’s degree in computer science, Engineering, Information Systems or a related field.
~ Strong command of English with the ability to communicate effectively with both technical and non-technical audiences.