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Confluent solution architect (santander)

Santander
Ampstek
Publicada el 11 junio
Descripción

Title: Confluent Solution Architect Location: Barcelona, Spain (Hybrid) Employment Contract.
Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.
Job Description: 10+ Years of Experience.
We are seeking for Confluent Solution Architect to lead the design and implementation of scalable, distributed event streaming solutions.
The adecuado candidate will bring deep expertise in the Event Streaming domain and adjacent technologies, with a strong ability to architect complex systems and mentor teams.
Mandatory skills: 10+ years Strong experience and knowledge in CP Upgrade, Cluster linking-expansion, Kraft migration Strong experience with Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) - Proven expertise in Event Streaming architecture and Kafka ecosystem.
- Strong understanding of distributed systems and integration patterns.
- Experience with Confluent Use Cases and platform optimization.
- Hands-on knowledge of adjacent technologies: Cloud platforms (AWS/Azure/GCP), data security, and data platforms.
- Demonstrated ability to lead technical conversations and influence architecture decisions. xhfqzwm
- Track record of mentoring and team leadership.
Desired skills: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: - Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center - Hands-on with Confluent Cloud services, including ksql DB Cloud and Apache Flink - Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC - Confluent certifications (Developer, Administrator, or Flink Developer) - Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes - Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns - Exposure to monitoring tools (Prometheus, Grafana, Splunk) - Experience with data lakes, data warehouses, or big data ecosystems

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