Senior Streaming Engineer

Datorth; New York (NY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Performance bonus

Comprehensive benefits

Hybrid hub near NYC

Job summary

Datorth seeks a Senior Streaming Platform Architect to own end-to-end streaming service architecture, collaborating with product, platform, and customer teams. You will design services built on Kafka, Flink, Spark, and cloud-native runtimes, driving guardrails and best practices for reliability and scale.

We value engineers who lead cross-functional initiatives, improve throughput and latency, and mentor teams to deliver production-grade streaming solutions across regional deployments.

Qualifications

• 7+ years of experience building distributed data systems with a focus on streaming.
• Deep knowledge of Kafka, Flink, Spark Streaming, or Pulsar.
• Hands-on experience with Java/Scala or Kotlin; Python a plus.
• Strong grounding in data modeling, partitioning, and replication strategies.

Responsibilities

• Own end-to-end streaming service architecture while partnering with product, platform, and customer teams.
• Define reference architectures and guardrails for streaming workloads.
• Optimize throughput, latency, and cost efficiency of streaming pipelines.
• Lead technical design reviews and RFCs to drive architecture decisions.
• Embed observability, failover, and policy automation into pipelines with SLIs/SLOs.
• Partner with SRE on incident response and tooling.
• Translate business requirements into engineering milestones and deliverables.
• Guide proof-of-concepts and customer onboarding; mentor engineers through pairing and code reviews.

Skills

Streaming systems

Kafka

Flink

Spark Streaming

Pulsar

Java/Scala

Kotlin

Python

Data modeling

Partitioning

Replication

Terraform

Kubernetes

OpenTelemetry

Prometheus

Grafana

Tools

Terraform

Kubernetes

OpenTelemetry

Prometheus

Grafana

Job description

Architect and scale Datorth’s low-latency streaming platform that powers mission-critical workloads for enterprises worldwide.

Design streaming services that are reliable, observable, and ready for multi-region scale.

Leadership

Mentor & influence

Coach engineers, shape roadmap priorities, and collaborate with product on customer outcomes.

24/7 Platform reliability mindset

What you’ll drive

Own end-to-end streaming service architecture while partnering with product, platform, and customer teams.

Streaming architecture

Design and evolve services built on Kafka, Flink, Spark, and cloud-native runtimes.

• Define reference architectures and guardrails
• Optimize throughput, latency, and cost efficiency
• Lead technical design reviews and RFCs

Reliability & governance

Embed observability, failover, and policy automation into every pipeline.

• Develop SLIs/SLOs and alerting strategies
• Partner with SRE on incident response & tooling

Cross-functional leadership

Collaborate with product managers, data scientists, and success teams to unlock customer outcomes.

• Translate business requirements into engineering milestones
• Guide proof-of-concepts and customer onboarding
• Mentor engineers through pairing and code reviews

What we’re looking for

Senior engineers who love operating streaming systems at scale and enjoy collaborating across the entire data product lifecycle.

Qualifications

7+ years of experience building distributed data systems with a focus on streaming.

• Deep knowledge of Kafka, Flink, Spark Streaming, or Pulsar
• Hands-on experience with Java/Scala or Kotlin; Python a plus
• Strong grounding in data modeling, partitioning, and replication strategies

Skills that shine

Proven track record scaling systems from pilot to production while ensuring observability and governance.

• Terraform/Kubernetes infrastructure literacy
• Experience with OpenTelemetry, Prometheus, or Grafana
• Ability to communicate complex concepts clearly

Why Datorth

Work on a modern data platform powering real-time AI and analytics for global enterprises.

• Hybrid collaboration hub minutes from NYC
• Equity, performance bonus, and comprehensive benefits

We value depth, collaborative problem solving, and pragmatic thinking.

• Intro call with recruiting & hiring manager
• Cross-functional conversations with product & success

Ready to engineer streaming at scale?