Staff Engineer, Data Products
Core
Design, build, and operate Flink-based streaming pipelines and data quality infrastructure to support agent-driven workflows and internal operations at scale.
Role type
Staff Engineer, Data Products (Platform/Infrastructure)
Builds
Real-time data processing systems, quality pipelines, schema infrastructure, and knowledge base tooling for internal AI workflows.
Domain
Fintech / Fraud Prevention / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Stream processing (Flink, Kafka), distributed systems design, data quality/observability, failure recovery, technical architecture, internal product mindset
Preferred skills
Data contracts/schema registries, JVM languages (Scala, Java, Kotlin), big data DBs (Aerospike, Elasticsearch), agentic/LLM infrastructure, small high-scope team leadership
Technologies
Flink, Kafka, Aerospike, Elasticsearch, JVM languages
Responsibilities
Design and operate production-scale streaming pipelines; own data quality and observability infrastructure; build knowledge base tooling for agents; drive data integrity and recovery systems; collaborate on company-wide data layer initiatives; set technical direction and architecture standards.
Seniority
Staff, technical anchor with hands-on execution and architecture ownership
