Senior Manager of Data Engineering

Role Overview

Join Dropbox as a Senior Manager of Data Engineering. You will build a strong data quality culture, lead engineering of a self-serve analytics platform, and drive measurable improvements in cost and efficiency while maintaining reliability.

Key Missions

• Establish and enforce data quality practices: lineage, freshness monitoring, anomaly detection, and quality metrics.
• Lead a self-serve analytics substrate to reduce bespoke request volume and increase partner-team autonomy.
• Own data platform unit economics by improving compute and storage efficiency without sacrificing reliability.

Responsibilities

• Partner with multiple teams (engineering, data science, analytics, and business partners).
• Establish and scale engineering practices for reliability and quality.
• Lead a high-talent-density team of data engineers; drive hiring, coaching, performance management, and team design.
• Ensure data SLAs with observability, lineage, and incident response for business-critical pipelines.

Requirements

• 8+ years of data engineering or backend/data infrastructure experience with increasing scope.
• Reliability & data quality ownership: data SLAs, observability, lineage, and incident response for critical pipelines.
• Deep technical expertise building and operating large-scale batch and streaming pipelines, using tools such as Spark, dbt, and Airflow (or similar orchestration).
• Experience with a modern lakehouse/warehouse stack such as Databricks, Snowflake, or BigQuery.
• 3+ years managing and growing engineering teams (hiring, coaching, performance management, and team design).
• Ability to design a semantic layer and data contracts for many downstream consumers.
• Proven ability to improve compute/storage unit economics while maintaining reliability.

Nice-to-Haves

• Track record building self-serve data/analytics platforms that reduce bespoke requests and increase autonomy.
• Experience integrating AI coding tools / LLM-based tooling with guardrails.
• Experience operating in a pod/embedded model serving multiple business partners.
• Familiarity with data governance, privacy, and access control practices.