Engineering Manager, Data Platform
Core
Lead a team of engineers building and operating the infrastructure for data ingestion, governance, storage, processing, and access across product and analytics systems.
Role type
Senior Engineering Manager, Data Platform
Builds
Data lakehouse stack (Iceberg, Kafka, MWAA, Trino, Athena) serving 30,000+ tenants
Domain
Cloud-native data infrastructure and distributed systems
Deliverable
production ML models | infrastructure
Required skills
Spark (PySpark/Scala), distributed systems architecture, team leadership, hiring, technical roadmap planning, code review, stakeholder communication
Preferred skills
AI/ML data pipelines, real-time analytics
Technologies
Spark, Iceberg, Kafka, MSK, Airflow, MWAA, Trino, Athena, Snowflake, dbt, AWS
Responsibilities
Write production code and lead architectural design on pipelines and storage layers; Own technical decisions on Spark job structure and streaming architecture; Review code to shape team thinking on distributed systems; Drive modernization and tooling choices; Contribute to data governance frameworks; Work shoulder-to-shoulder with engineers on hard problems; Provide real-time feedback and coaching; Own the team's technical roadmap; Run technical recruiting; Handle stakeholder coordination
Seniority
Senior, hands-on IC with management responsibilities