Director, Data Engineering

About the role

We are seeking a Director of Data Engineering to define the vision and execute the long-term strategy for our global data ecosystem. This is a foundational leadership role responsible for the re-architecture of our data warehouse into a world-class platform. You will not only oversee the migration to modern infrastructure but will also be the primary architect of our data governance framework and cross-functional data democratization strategy.

Responsibilities

• Define the 2–3 year vision for the data platform and 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, fostering 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), owning 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, managing 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, translating technical debt and infrastructure needs into business value, and turning 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

We are looking for an executive-minded leader who thrives at the intersection of deep technical "know-how" and high-level business strategy:

• 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).
• 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.

Qualifications

Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE).

Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $223,975—$310,000 USD

Benefits

The Engine Edge: Perks & Compensation We believe in rewarding great work with great 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.
• Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.