Dropbox is rebuilding the foundation of its monetization and financial data systems — and at the center of that is our revenue and growth data platform. We’re looking for a Staff Data Engineer to lead the design and delivery of this critical foundation, enabling insights and systems that drive ARR tracking, financial reporting, and product monetization.
This isn’t just a hands-on role — it’s a strategic technical leadership opportunity. You’ll define architectural direction, elevate engineering standards across teams, and build scalable systems that directly power executive reporting, monetization experiments, and product strategy. Your work will have executive visibility and serve as a linchpin for Dropbox’s monetization and growth strategy.
We’re seeking an engineer who combines deep technical expertise with a strong sense of ownership and the ability to drive change across org boundaries. If you’re passionate about building for scale, reliability, and business impact — this is your opportunity.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities- Architect the next-generation data platform for ARR, revenue attribution, and growth analytics — setting vision, driving alignment, and delivering at scale
- Own and evolve core data models and systems used across Finance, Product, and Analytics teams — ensuring accuracy, trust, and accessibility
- Lead platform modernization, including the adoption of scalable lakehouse architectures (Databricks, Spark, Delta), CI/CD for data, and observability frameworks
- Drive adoption of scalable data practices across Dropbox through reusable tooling, process improvements, and cross-team collaboration
- Partner with stakeholders (e.g., Finance, Product, Data Science, and Infrastructure) to understand data needs and deliver solutions that drive real business outcomes.
- Mentor and uplift other engineers, helping to cultivate a high-performing, innovation-driven data engineering culture
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
Requirements- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- 10+ years building large-scale data systems, with a demonstrated track record of technical leadership, including ownership of architectural direction and cross-team platform work
- Proven ability to set architectural direction, lead platform evolution, and influence technical strategy across teams
- Deep hands-on expertise with Spark, Spark SQL, and Databricks, along with experience orchestrating data pipelines using Apache Airflow, and writing performant, maintainable Python and SQL code
- Track record of implementing data quality, testing, and observability systems at scale
- Experience supporting monetization, financial, or product growth analytics with trusted and governed data models
- Familiarity with cloud platforms (AWS, GCP, or Azure) and lakehouse paradigms (e.g., Delta Lake, Iceberg)
- Experience leading data migrations or platform transformations (e.g., from on-prem to cloud, Hadoop to Databricks)
- Familiarity with tools for data contracts, lineage, and governance (e.g., dbt, Monte Carlo, Great Expectations)
- Understanding of data privacy and compliance frameworks, including GDPR, SOX, and audit-readiness
US Zone 1
This role is not available in Zone 1
