Engineering Manager leading Mercury’s banking account services and senior engineering team. Building reliable systems for customer account management and money movement.
About the role
- 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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