Director, Data Engineering

Engine is an all-in-one travel and spend management platform for businesses and travelers. The Director of Data Engineering will define the long-term vision for the global data ecosystem, lead the re-architecture of the data warehouse, and establish data governance and democratization strategies. The role also oversees organizational growth, infrastructure efficiency, executive stakeholder management, and adoption of AI/ML and real-time streaming technologies.

Responsibilities:

• 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:

• 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. You should have a 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