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. 

 

About the Role

Data is the lifeblood of Taskrabbit, and we are looking for a visionary leader to join as our Director of Data Engineering. In this critical role, you will own the data infrastructure that powers our entire business. You will be responsible for hiring, coaching, and directly managing the Data Engineering and Analytics Engineering teams, guiding them to design and build high-scale, reliable systems that ensure data accuracy, availability, and trustworthiness.

As the Director of Data Engineering, you will be the senior-most engineer in the data organization, responsible for setting the vision, strategy, and standards for our data platform. You will implement best-in-class data warehousing practices, manage data governance, and create robust processes for data monitoring, alerting, and anomaly detection. You will partner closely with leaders across Data Science, Machine Learning, Product, and Engineering to define your team's roadmap, prioritize high-impact work, and deliver against timelines with high-quality software. This is a strategic role that requires a blend of deep technical expertise, strong leadership skills, and a passion for building the foundational systems that enable a data-driven culture.

What You'll Work On: Team Leadership & Development: Build, coach, and scale a high-performing, geographically distributed team of data and analytics engineers, fostering a culture of excellence, innovation, and accountability. Strategic Vision & Roadmap: 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. Engineering & Architectural Excellence: 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. Enable Self-Service Analytics: 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. Cross-Functional Partnership: Build strong, collaborative relationships with Data Scientists, Product Managers, and Software Engineers to understand their evolving data needs and deliver robust solutions. Operational Excellence: 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 Oversee Data Governance & Compliance: In collaboration with the Information Security Committee, 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. Ensure Data Reporting Correctness and Accuracy: Implement a robust data quality framework to guarantee accurate, consistent, and reliable data for reporting and analysis. This involves defining data quality metrics, automating monitoring and alerting, and establishing rapid issue resolution processes. Innovation & Modernization: Keep up with industry trends, including advancements in AI and machine learning, and continuously identify new tools and methodologies to improve our data platform and processes. Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

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. 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.  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. Experience with or a strong understanding of semantic layer technologies (e.g., dbt Semantic Layer, LookML) is a significant plus. Expertise in Agile/Lean software development methodologies. BA/BS in Computer Science, Math, Physics, or another technical field. Compensation & Benefits:

At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. Our total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $181,000 to $252,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.