Senior Manager leading Dropbox’s data engineering team and core data platform. Improving pipeline reliability, quality, efficiency, and self-serve analytics for company-wide decision-making.
Responsibilities
Lead and grow a team of data engineers building and operating ingestion, transformation, orchestration, serving, and self-serve analytics layers
Establish data quality practices covering lineage, freshness monitoring, anomaly detection, and quality metrics
Lead the self-serve analytics platform to reduce bespoke requests and increase partner-team autonomy
Own data-platform compute and storage efficiency while improving reliability
Partner with Data Science, BIE, Analytics, Product, Data Platform, and the CTO organization on semantic layers, modeling standards, and data contracts
Establish engineering practices including code review, testing, CI/CD for data, incident response, and postmortems
Champion measured use of AI coding tools to improve engineering productivity
Mentor and develop data engineers while fostering ownership, technical excellence, psychological safety, and continuous learning
Requirements
8+ years of data engineering or backend/data infrastructure experience, ideally in high-scale environments
3+ years directly managing and growing engineering teams, including hiring, coaching, performance management, and team design
Proven experience building and operating large-scale batch and streaming pipelines
Experience with Spark, dbt, and Airflow/orchestration
Experience with modern lakehouse or warehouse platforms such as Databricks, Snowflake, or BigQuery
Ownership of data SLAs, observability, lineage, and incident response for business-critical pipelines
Strong data modeling fundamentals
Ability to design semantic layers and data contracts for downstream consumers
Excellent communication and stakeholder-alignment skills across engineering, data science, analytics, and business partners
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