Lead Data Engineer
Core
Design, build, and operate a cloud-native, event-driven Service Layer platform powering enterprise Quote-to-Cash, customer lifecycle, and finance integrations.
Role type
Senior IC Lead Data Engineer (distributed systems & integration)
Builds
Cloud-native event-driven integration platform, canonical data models, and orchestration frameworks for enterprise applications.
Domain
Financial services, enterprise integration, cloud-native data engineering
Required skills
Golang, Python, AWS (Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, EventBridge, MSK), Kafka, PostgreSQL, ClickHouse, distributed systems architecture, event-driven design, CI/CD, observability, secure API design, data modeling, team leadership
Preferred skills
AWS certifications, Quote-to-Cash domain experience, CRM/ERP integration experience
Technologies
AWS, Kafka, Go, Python, PostgreSQL, ClickHouse, Snowflake, GitLab CI, Jenkins, Grafana, Datadog, Prometheus, OpenTelemetry
Responsibilities
Lead and mentor engineering teams; drive architecture and design decisions for event-driven integrations; design and implement scalable Kafka-based event processing; build canonical data models and transformation frameworks; design observability and operational dashboards; enforce engineering standards and secure-by-design principles.
Seniority
Senior, hands-on IC with leadership responsibilities
