Director, Data Engineering

Engine is transforming business travel into something personalized and rewarding. The Director of Data Engineering will define the vision for the global data ecosystem, oversee the migration to modern infrastructure, and establish data governance frameworks.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• Drive the adoption of cutting-edge technologies (AI/ML integration, real-time streaming) to keep Engine at the forefront of the industry

Requirements:

• 10+ years in Data Engineering/Software Engineering, with at least 5+ years in senior leadership roles (managing managers or leading large-scale departments)
• 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
• Proven ability to lead organizations through significant technical shifts and cultural changes, specifically moving from legacy systems to agile, modern architectures
• Exceptional ability to communicate the 'Why' behind technical investments to non-technical partners
• Track record of using data to solve complex business problems
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
• 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