Director, Data Engineering

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Hotel Engine

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🛍️ eCommerce

🚗 Transport

💰 $65M Series B on 2021-12

eCommerce • Transport • Travel

Hotel Engine is a powerful platform that simplifies business travel by allowing companies to easily book, manage, and save on travel needs. The platform offers access to over 750,000 hotels globally, enabling seamless reservations for various group sizes, from small teams to large corporate events. With features like centralized reporting, flexible payment options, and dedicated support, Hotel Engine aims to streamline the travel experience for both organizations and individual travelers, ensuring significant savings in time and money.

📋 Description

• Strategic Vision & Roadmap: Define the 2–3 year vision for the data platform. Align data engineering initiatives with overarching company goals to ensure data is a primary driver of business growth. • Organizational Leadership: Build and scale a multi-tiered engineering organization. Foster a culture of technical excellence, mentorship, and high accountability, ensuring a robust leadership pipeline within your team. • Data Governance & Compliance: Establish and enforce global standards for data quality, security, and privacy (GDPR/CCPA). Own the framework for data cataloging and lineage to ensure "one source of truth" across the enterprise. • Operational Excellence & ROI: Optimize the total cost of ownership (TCO) for our data infrastructure. Manage vendor relationships (Snowflake, etc.) and budgets while ensuring the stack scales efficiently with company growth. • Executive Stakeholder Management: Serve as the primary liaison between Engineering and the C-suite. Translate technical debt and infrastructure needs into business value, and turn business requirements into scalable technical architectures. • Innovation & Architecture: Drive the adoption of cutting-edge technologies (AI/ML integration, real-time streaming) to keep Engine at the forefront of the industry.

🎯 Requirements

• Experience: 10+ years in Data Engineering/Software Engineering, with at least 5+ years in senior leadership roles (managing managers or leading large-scale departments). • Strategic Technical Expertise: Deep architectural knowledge of the modern data stack (Snowflake, Airflow, dbt, Airbyte). Experience leading large-scale cloud migrations and designing systems that support both BI and Machine Learning workflows. • Change Management: Proven ability to lead organizations through significant technical shifts and cultural changes, specifically moving from legacy systems to agile, modern architectures. • Business Acumen: Exceptional ability to communicate the 'Why' behind technical investments to non-technical partners. You should have a track record of using data to solve complex business problems. • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field. • Mindset: A high-level thinker who isn't afraid to dive into the weeds when necessary, but consistently operates with an eye toward scalability, sustainability, and competitive advantage.

🏖️ Benefits

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Benefits: Check out our full list at engine.com/culture.