Taskrabbit needs a Director of Data Engineering to own and lead the data infrastructure that powers the entire business, ensuring data accuracy, availability, and trustworthiness to enable a data-driven culture.
Requirements
- 5+ years of experience as a data engineering leader, with a proven track record of scaling, managing, and building high-performing, geographically distributed data teams.
- 2+ years of experience establishing and enforcing data lifecycle management (such as data retention policies and data disposal procedures).
- Demonstrated experience in leading data initiatives for compliance, including working with regulations like GDPR, CCPA, or similar, and supporting organizations in successfully achieving and maintaining certifications such as SOC 2 or ISO 27001.
- Skilled in coaching and leading other engineers, with the ability to provide deep technical guidance when needed.
- Deep experience with modern cloud platforms (e.g., AWS, GCP) and data warehouse technologies like Snowflake.
- Expertise in SQL, data modeling, and at least one scripting language (e.g., Python).
- Experience with modern data stack tools such as dbt, Airflow, and BI/visualization tools like Looker or Sigma.
Responsibilities
- Build, coach, and scale a high-performing, geographically distributed team of data and analytics engineers, fostering a culture of excellence, innovation, and accountability.
- Proactively drive the vision for Taskrabbit's data platform. Define and execute a strategic roadmap that aligns with our broader data strategy and company objectives, focusing on scalability, reliability, and efficiency.
- Promote data engineering best practices (CI/CD, coding, testing, observability, security) for maintainable, high-quality solutions. Lead data model design and define data warehousing best practices, overseeing foundational improvements.
- Champion and oversee the development of a semantic layer to provide a single source of truth for key business metrics, empowering teams across the company with self-service analytics capabilities.
- Build strong, collaborative relationships with Data Scientists, Product Managers, and Software Engineers to understand their evolving data needs and deliver robust solutions.
- Define and manage SLAs for all critical datasets and production processes. Implement and oversee a comprehensive observability strategy, including monitoring, alerting, and data quality checks.
- Establish and enforce data lifecycle management policies, including data retention and disposal procedures. Lead initiatives to ensure the data platform meets and maintains compliance with global regulations.
Other
- This is a Hybrid role with the expectation that employees will begin working 2 days per week in our dedicated office space in San Francisco or New York City starting in September of 2025.
- Strong communication and leadership skills, with a bias for action and the ability to proactively drive complex projects to completion, and effectively communicate the business value of technical initiatives to stakeholders across the organization.
- Experience leading a data organization through the implementation of security and compliance initiatives.
- Expertise in Agile/Lean software development methodologies.
- BA/BS in Computer Science, Math, Physics, or another technical field.
