Note: The job is a remote job and is open to candidates in USA. Engine is an all-in-one travel and spend management platform serving businesses and travelers. The Director of Data Engineering will define the vision and long-term strategy for the global data ecosystem, lead the re-architecture of the data warehouse, and establish data governance and democratization strategies. The role also provides organizational leadership, manages infrastructure efficiency and executive stakeholder relationships, and drives innovations such as AI/ML integration and real-time streaming.
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
Skills
- 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
Benefits
- Opportunities for bonuses, commissions, and equity.
- A hybrid-hub model, with roles offered in office or fully remote depending on the role’s needs.
Company Overview
Company H1B Sponsorship