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AI Streaming Data Architect

Infera Cloud

Remote · $160k – $200k / year · Full-time · Posted 5 months ago

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About the role

We already process 800GB daily in batch. Now our ML teams need real-time features — and the streaming infrastructure to deliver them. Wind turbine sensor readings need to flow from IoT gateways to feature stores in under 30 seconds for our predictive maintenance models to work in real-time. You'll design and build the streaming data architecture: Kafka for ingestion, Spark Structured Streaming for transformations, real-time feature computation, and the serving layer that makes features available for both batch training and online inference. This is a greenfield project with significant technical autonomy. You'll make the architectural decisions, build the proof of concept, and scale it to production. If you've built streaming ML feature pipelines before and have strong opinions about exactly-once semantics and late-arriving data, this is your project.

Fully remote.

Responsibilities

  • Design real-time streaming data architecture for ML feature delivery
  • Build Kafka-based ingestion pipelines from IoT sensor networks
  • Implement Spark Structured Streaming for real-time feature computation
  • Create a unified feature serving layer for batch and online inference
  • Define SLAs for feature freshness and data quality in streaming pipelines

Requirements

  • 6+ years in data engineering with streaming system experience
  • Deep Kafka and Spark Structured Streaming expertise
  • Experience building real-time ML feature pipelines
  • Strong AWS and Docker skills for infrastructure
  • Understanding of streaming semantics (exactly-once, watermarks, late data)

Benefits

  • Fully remote — US time zones
  • Senior equity package
  • $4,000 annual learning budget
  • Greenfield architecture project with full autonomy

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure Data Science & Analytics

Skills

python kafka spark snowflake airflow aws docker

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