Real Time Data Streaming Architect
Darwin Recruitment
Real Time Data Streaming Architect
Samenvatting
Wat krijg je?
Wat ga je doen?
- Define and execute enterprise streaming strategy
- Manage production streaming platforms at scale
- Manage Kafka architecture and schema governance
- Connect streaming platforms to business outcomes
- Improve reliability and manage vendor relationships
Wat verwachten wij?
- 10 years data engineering with 3 years leadership
- Deep expertise in Apache Kafka and architecture
- Hands-on experience with Apache Flink stream processing
- Experience in Telco or large-scale enterprise environments
Volledige vacaturetekst
This leading telecommunications operator is revolutionizing its infrastructure by placing real-time data at its core. As the driving force behind their central streaming platform, you will transition the organization from batch-first to streaming-first using Apache Kafka and Flink. This role offers the unique chance to influence C-level strategy while shaping the backbone for AI and IoT innovation. Discover how you can redefine connectivity on a massive scale.
About the Company
A leading telecommunications operator is investing heavily in real-time data infrastructure to power analytics, AI, and network automation. The central streaming platform, built on Apache Kafka with Flink, is the backbone for network telemetry, security monitoring, customer analytics, and IoT. The organisation is shifting from batch-first to streaming-first, and this role owns that agenda.
Requirements
- 10+ years in data/platform/software engineering, with 3-5 years in a leadership role
- Deep Apache Kafka expertise - architecture, operations, schema governance, ecosystem (Connect, Streams, Schema Registry)
- Hands-on Apache Flink or comparable stream processing
- Telco or large-scale enterprise experience - OSS/BSS, network data, or enterprise platforms
- Proven track record building or scaling a central streaming platform
- Strong architectural thinking - event-driven architecture, microservices, API design, integration patterns
- Cloud & containers - AWS/Azure/GCP, Kubernetes, CI/CD
- Excellent stakeholder management - C-level to engineering teams
- Strong communication - translates technical complexity into business value
Experience:
- Leadership: Defined and executed a streaming strategy at enterprise scale; built and grew teams; influenced at C-level; drove organisational change from batch-first to streaming-first.
- Technical depth: Kafka at scale, cluster architecture, topic design, schema governance, exactly-once semantics, operational reliability; stream processing trade-offs; event-driven patterns; schema evolution without breaking downstream; observability for streaming.
- Delivery & operations: Ran streaming platforms in production at telco scale (millions of events/day); improved reliability and reduced incidents; managed vendor and integrator relationships; delivered projects on time and within scope.
Business and ecosystem: Connected streaming to business outcomes (network ops, customer experience, security, AI); familiar with telecom data landscape; engaged with industry standards (TM Forum, IDSA, iSHARE); brings a relevant industry network.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Waar je gaat werken
About the Company
A leading telecommunications operator is investing heavily in real-time data infrastructure to power analytics, AI, and network automation. The central streaming platform, built on Apache Kafka with Flink, is the backbone for network telemetry, security monitoring, customer analytics, and IoT. The organisation is shifting from batch-first to streaming-first, and this role owns that agenda.
Over de werkgever
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