Engineering Manager – Data Platform
Core
Lead a multidisciplinary data engineering team building a global payment data platform that processes billions of events for fraud detection and revenue analytics.
Role type
Senior Engineering Manager, Data Platform
Builds
High-throughput real-time and batch data systems, data pipelines, and observability infrastructure for payment events.
Domain
Fintech / Payments / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Team leadership and hiring, technical architecture design, hands-on data engineering, Python, SQL, streaming/batch processing (Kafka, Spark, Flink, Airflow), cloud data infrastructure (AWS, GCP, Azure), data quality and governance, AI-first development culture.
Preferred skills
Payments/fintech industry experience, real-time analytics, ML platform design, DevOps for data (CI/CD, IaC).
Technologies
Kafka, Spark, Flink, Airflow, dbt, AWS, GCP, Azure, Claude Code, LLMs.
Responsibilities
Lead and develop a multidisciplinary data engineering team; mentor engineers at all levels; drive hiring processes; own the full lifecycle of data systems from ingestion to serving; guide architectural decisions for scalable data systems; collaborate with Product, Analytics, and ML teams.
Seniority
Senior, hands-on IC with people management
