Engineering Manager (Data Engineering)
Core
Lead the Data Products team to own, model, and deliver trusted ETL pipelines and curated datasets that power Quince's core business domains.
Role type
Engineering Manager (Data Engineering)
Builds
Domain-aligned data products, ETL pipelines, and curated datasets for business analytics and operations.
Domain
Retail / E-commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering leadership, SQL, Python, Spark, data modeling (dimensional, SCD), ETL/ELT pipeline design, cloud data warehouse management, workflow orchestration, stakeholder management, team hiring and development
Preferred skills
dbt, data quality/observability tooling, data mesh concepts, Kafka/CDC ingestion, lakehouse architecture
Technologies
Snowflake, BigQuery, Redshift, Airflow, Spark, Kafka, dbt, Monte Carlo, Great Expectations
Responsibilities
Lead and develop a team of data engineers; own end-to-end lifecycle of domain datasets (ingestion to deprecation); set data modeling and quality standards; manage compute/storage costs; partner with Analytics, Marketing, and Product to translate requirements into reliable data products; establish data contracts and ownership models.
Seniority
Manager, hands-on technical leadership
