Senior Data Platform Engineer

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. We drive growth for our clients and partners while removing friction from the end-to-end travel experience. 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.

Job summary

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.

The role provides technical leadership across multiple engineering teams and is accountable for ensuring that platform services are scalable, secure, reliable and aligned with business priorities. 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.

Position Responsibilities

• 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 ultimate technical authority for the domain establishing technology standards, frameworks and engineering best practices.
• Ensure platform scalability, reliability, security, maintainability and cost-efficiency as business demand grows.
• Evaluate emerging technologies and define adoption strategies that improve productivity, platform capabilities and business outcomes.
• Lead multiple engineering teams through their respective Team Leads, providing strategic direction, technical leadership and operational guidance
• Act as the primary technology partner for senior business stakeholders, Product Directors, Engineering leaders and Executive Leadership
• Foster a culture of engineering excellence, ownership, innovation, accountability and continuous improvement
• 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.
• Establish and monitor service KPIs, SLAs and operational metrics across all platform components

Required skills

• Exceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributors.
• Strong stakeholder management capabilities, with experience engaging and influencing Director and C-Level stakeholders.
• Strategic mindset with the ability to align technology investments with business objectives.
• Excellent communication and presentation skills, capable of translating complex technical concepts into business language.
• Strong decision-making and prioritization skills in complex and rapidly changing environments.
• Proven ability to balance operational stability, technical innovation and business delivery.
• Strong people leadership capabilities, including coaching, mentoring and organizational development.
• Demonstrated experience building high-performing engineering organizations and fostering engineering excellence.
• Excellent analytical and problem-solving capabilities.
• Resilience and ability to operate effectively under pressure while managing competing priorities.
• Strong command of English, both written and verbal.

• Required technical skills

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Must have

• 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