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Engine
Engine

Director, Data Engineering

RemoteUnited States only
Published
Role
Engineering Management
Experience
Lead
$224k–$310k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Director-level data engineering leader for a US-remote role. Needs 10+ years in Data/Software Engineering, 5+ years senior leadership, and deep modern data stack experience with Snowflake, Airflow, dbt, and Airbyte. Must be able to lead cloud migrations, data governance, and large-scale data platform strategy.

Core skills

SnowflakeAirflowdbt

Required skills

Airbyte

What you'll do

  • 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.
  • Define the vision and execute the long-term strategy for Engine’s global data ecosystem.
  • Lead the re-architecture of the data warehouse into a world-class platform.
  • Oversee the migration to modern infrastructure.
  • Act as the primary architect of the data governance framework and cross-functional data democratization strategy.

What they require

  • 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.
  • Executive presence to influence product and business roadmaps.

Benefits

  • Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Total compensation may include equity and/or variable pay (OTE).
  • Benefits: Check out our full list at engine.com/culture .
  • 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.

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🇺🇸 United StatesFintechStartupengine.com

What people say about this company

3.7/ 5

Details

Apply routeGreenhouse
$224k–$310k/yr