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Head of streaming platform kafkaflink Vacatures

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Real Time Data Streaming Architect

bij Darwin Recruitment in Amsterdam - Noord-Holland
op website van werkgever
Dienstverband
Overig
Werklocatie
Kantoor
Opleiding
Overig
Functiegroep
Techniek & Engineering

Over de vacature

Overview

In this role you own the company's shift from batch-first to streaming-first, focusing on real-time data infrastructure built on Kafka and Flink. You will lead the design, deployment, and evolution of a central streaming platform that powers network telemetry, security, analytics and IoT, collaborating with cross-functional teams and C-level stakeholders. You will shape architecture, drive scalable, reliable streaming solutions, and deliver business value through data-driven insights and automation.

Verantwoordelijkheden

  • Define and execute the streaming strategy at enterprise scale
  • Lead and grow the streaming platform team; influence at C-level
  • Oversee Kafka/Flink-based platform architecture, topic design, and schema governance
  • Ensure operational reliability, observability, and exactly-once semantics for streaming pipelines
  • Drive vendor/integrator relationships and manage delivery of streaming initiatives
  • Align streaming initiatives with business outcomes in network ops, security, and AI
  • Foster architectural patterns for event-driven microservices and API design
  • Champion migration from batch to streaming and ensure cross-functional adoption

Belangrijkste vereisten

  • 10+ years in data/platform/software engineering

  • 3-5 years in a leadership role

  • Deep Apache Kafka expertise (architecture, operations, schema governance, ecosystem)

  • Hands-on Apache Flink or equivalent stream processing

  • Telco or large-scale enterprise experience (OSS/BSS, network data)

  • Proven track record building/scaling central streaming platforms

  • Strong architectural thinking (event-driven, microservices, integration patterns)

  • Cloud & containers (AWS/Azure/GCP, Kubernetes, CI/CD)

  • Excellent stakeholder management and communication (C-level to engineering)

  • Stakeholder management

  • Clear communication of technical concepts to business stakeholders

  • Strategic thinking and influence at senior levels

  • Apache Kafka (architecture, scalability, topic design, schema governance, exactly-once)

  • Apache Flink (stream processing)

  • Kafka Connect, Schema Registry

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