Engineering Manager: Product & Vendor Insights (Hybrid - Seattle, WA)
Core
Lead a team of engineers building and operating event-driven pipelines and cloud data warehouse products that power product, pricing, vendor, and promotions data for merchandising decisions and large-scale selling events.
Role type
Senior Engineering Manager (Data & Analytics)
Builds
Enterprise product data layer, event-driven pipelines, cloud data warehouse products, and brand partner data feeds.
Domain
Retail, Enterprise Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Event-driven systems, distributed data pipelines, team leadership, Kafka/Confluent Cloud, Java/Spring Boot, cloud data warehouses (BigQuery/Snowflake), AWS/GCP, Terraform, CI/CD, containerization (Docker/Kubernetes), data governance.
Preferred skills
Retail/merchandising domain knowledge, event sourcing patterns, schema registries, Apache Flink, medallion/lakehouse architecture transitions, complex stakeholder management.
Technologies
Kafka, Confluent Cloud, Java, Spring Boot, BigQuery, Snowflake, AWS, GCP, Terraform, Docker, Kubernetes, Apache Flink
Responsibilities
Lead a team of ~8 engineers (mix of full-time and contract), drive platform modernization to medallion architecture, manage brand partner data program, deliver pricing/promotions data capabilities, partner with ML and digital product teams, contribute to architecture design, recruit and develop engineering talent, implement DevOps best practices.
Seniority
Senior, hands-on IC with people leadership