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# Engineering Manager, Data Platform

- **Company:** CATAMORPHIC CO.
- **Location:** Oakland, CA, United States
- **Experience:** Experienced
- **Salary:** $163,000.0 - $263,670.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Data Infrastructure, Data Stores, Elasticsearch, Python (Programming Language), Software Engineering, Datadog, Data Logging, Backend, Apache Kafka, Vertica, Terraform
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3ef25c3233c783e2

## About the Role

* 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
 * Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores
 * Strong distributed-systems fundamentals and the judgment to guide technical tradeoffs with senior engineers
 * Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimates
 * Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
 * Strong communication skills in a distributed, cross-time-zone environment
 * Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort leading production incident response
 * Experience with Go or Python, and with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus

## Description

Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you'll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer., * Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities

 * Own the delivery, correctness, and resilience of Data Platform's production systems, including Tier 0 ingestion endpoints and the pipelines and data stores behind them
 * Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time
 * Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers
 * Drive operational excellence: reliability, observability, cost, incident response, and on-call health
 * Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged
 * Participate in hiring to grow the team and raise the engineering bar


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