Engineering Manager, Data Streaming
New
H
Horizon3Cybersecurity
US, RemoteFull-TimeManager
SalaryBase salary range: $225,250 - $265,000 annually. Additional compensation: This role may also be eligible for an equity package (in the form of stock options).
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Job Details
- Required Skills
- AWSPostgreSQLPythonKafkaKubernetesGo
Requirements
- Experience leading teams of 5–8 engineers building and operating production data ingestion or ETL/ELT pipelines.
- Deep understanding of streaming or event-driven data architectures, such as Kafka, Kinesis, or Pub/Sub.
- Experience designing data normalization and enrichment pipelines at scale, with attention to data quality, deduplication, and schema evolution.
- Ability to define and own pipeline SLOs for latency, throughput, error rate, and data completeness.
- Experience operating data pipelines in cloud-native environments and understanding their failure modes and operational patterns at scale.
- Ability to translate ambiguous product requirements into well-scoped engineering projects.
- Proficiency in Go or Python, with the ability to read and write pipeline code.
- Experience with message queues and streaming systems such as Kafka, Kinesis, or RabbitMQ.
- Experience with PostgreSQL or other relational databases as a pipeline destination.
- Experience with Kubernetes and containerized service operations in AWS or an equivalent cloud.
- Familiarity with data observability tooling for pipeline monitoring, alerting, and schema drift detection.
Responsibilities
- Lead engineering execution and team health for the Data Streaming sub-team, including sprint cadence, technical design reviews, and engineering quality.
- Grow the sub-team from its current state to a full team of 6–7 engineers.
- Own SLOs for ingestion throughput, latency, and error rates.
- Build on-call processes and runbooks to keep production pipelines healthy.
- Maintain stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and Database Platform.
- Scale ingestion pipelines for more customers, larger environments, and new data types.
- Partner with Security Research, Database Platform, and Asset Inventory on data quality and pipeline design.
- Build a culture of operational ownership focused on pipeline reliability.
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