Responsibilities
- Evaluate product and strategic goals to guide decisions on core datasets, architecture, and data governance standards.
- Prioritize data accuracy, reliability, and system efficiency during dataset development.
- Lead critical data engineering initiatives that foster collaboration across departments.
- Promote timely adoption of proven industry tools and best practices in data management.
- Maintain and optimize foundational SQL and Python pipelines supporting the data lake and warehouse.
- Ensure datasets are thoroughly documented with clear metrics for quality, availability, and business value.
Compensation
Pay considers role scope, responsibilities, experience, skills, and location; may include equity or commission. Benefits and compensation are subject to change.
Work Arrangement
Hybrid — San Francisco, New York, Washington D.C., London, Amsterdam
Other
- The company supports reasonable accommodations for candidates with disabilities during recruitment.
- Candidates who require disability-related assistance can reach out to accommodations@plaid.com.
- Some roles may offer additional compensation in the form of equity or sales commission.
- A full benefits package is available, covering medical, dental, vision insurance, and retirement savings via 401(k).
- Compensation decisions consider the role's scope, the candidate's experience, technical abilities, and geographic location.
- Benefits and pay terms are subject to change in accordance with applicable policies and plans.
