Data Engineer

• Own the real‑time data streaming stack and design, build, and operate Kafka-based pipelines (Confluent Cloud/self‑managed)
• Architect topics, partitions, retention, and compaction; build ingestion with Kafka Connect/Debezium; implement stream processing (Kafka Streams/ksqlDB/Flink/Spark)
• Enforce schemas (Schema Registry: Avro/Protobuf), validation, PII handling, GDPR/CCPA compliance, and monitoring & alerting for lag, errors, and anomalies
• Ensure high availability, disaster recovery, and security (ACLs/RBAC, encryption); manage CI/CD and IaC (Terraform/Helm) and perform cost/throughput tuning
• Collaborate with Data/Analytics/Marketing/Product teams to define events, SLAs, and interfaces; provide best‑practice guidance and enablement
• Continuously reduce latency/cost, improve reliability, and evaluate new streaming tools/patterns
• Measure and report on consumer lag, uptime/MTTR, throughput & latency, schema evolution impact, data quality error rate, and cost per GB/event

Senior Data Engineer, Kafka

Data Engineer

Data Engineer

Staff Data Engineer

Data Architect

Data Engineer