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Technical Dimensiontech-dim.dev-team.backend-stream-processing

Dev Team — Backend Stream Processing

The team responsible for low-latency event processing — Kafka/Pulsar/Pub-Sub, real-time feature stores, decisioning services. Required for any activation at Intra-session latency or below.

confidence 90%v1reviewed Apr 26, 2026tech-dimension, dev-team, streaming, real-time, kafka

Dev Team — Backend Stream Processing

Owns streaming infrastructure: Kafka / Pulsar / Pub-Sub, stream processors (Flink, Beam, Materialize), real-time feature stores, decisioning services. Required for any activation at Intra-session latency or below in a composable architecture.

Capabilities the team enables. Real-time profile updates, sub-minute audience refresh, low-latency feature serving for ML inference, event-driven activation.

When this team is missing. Push real-time use cases into packaged-CDP territory (where the vendor provides this layer), or accept higher-latency tiers. Building stream processing without dedicated staff is the canonical project that gets cancelled in year two.

Sources

Related

This node →

  • prerequisite-oflatency-tier.intra-sessionStreaming team is required for intra-session activations in composable stack
  • prerequisite-oflatency-tier.inter-pageStreaming or edge team is required for inter-page
  • prerequisite-ofcapability.streaming-ingestionTC-136. Building and operating a Kafka-based or Snowpipe Streaming pipeline requires a backend stream-processing team. The existing edge tech-dim.dev-team.backend-stream-processing → prerequisite-of → latency-tier.intra-session grounds the same team as the enabler of composable streaming activations; streaming ingestion is the data-in half of the same architecture.
  • prerequisite-ofcapability.streaming-ingestionTC-136 (2026-06-15, applied 2026-08-21). Building and operating a Kafka-based or Snowpipe Streaming pipeline requires a backend stream-processing team. The existing edge tech-dim.dev-team.backend-stream-processing -> prerequisite-of -> latency-tier.intra-session grounds the same team as the enabler of composable streaming activations; streaming ingestion is the data-in half of the same architecture.

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