Data Architect Leader

4 days ago

Islamabad, Islamabad, Pakistan beBeeCloud Full time 15,000,000 - 25,000,000
Event Streaming Leadership Opportunity

Grade Level: L3

We are seeking an exceptional leader to spearhead the design, development, and management of our enterprise-grade event-driven architecture.

The ideal candidate will be responsible for overseeing the scalability, reliability, and performance of Kafka, MQ systems, and other streaming/data ingestion platforms to support our large-scale digital payments ecosystem.

Key Responsibilities:

  • Lead the architecture, deployment, and operations of Kafka clusters, ActiveMQ/RabbitMQ, and other messaging platforms.
  • Manage real-time data ingestion pipelines to support payments, transactions, analytics, and fraud detection use cases.
  • Define and implement best practices for event-driven microservices, schema management, and message governance.
  • Oversee the reliability, performance tuning, and security of Kafka/MQ clusters in production.
  • Collaborate with cross-functional teams (application, data, DevOps, and security) to design high-throughput, low-latency solutions.
  • Lead a team of engineers, providing mentorship, technical guidance, and performance management.
  • Establish monitoring, observability, and alerting frameworks (e.g., Prometheus, Grafana, ELK, Confluent Control Center).
  • Drive capacity planning, scaling strategies, and disaster recovery for messaging platforms.
  • Manage vendor relationships, licensing, and support for platforms like Confluent Kafka.
  • Ensure compliance with regulatory and security requirements.

As an equal opportunity employer, we celebrate diversity and strive to create an inclusive environment for all employees.

Requirements:

  • 5+ years of IT experience with at least 3+ years in managing Kafka/Event Streaming platforms.
  • Strong expertise in Apache Kafka (Confluent/OSS) – cluster setup, scaling, partitioning, replication, security.
  • Hands-on experience with ActiveMQ / RabbitMQ / IBM MQ or equivalent.
  • Solid understanding of event-driven architecture, pub-sub, and messaging patterns.
  • Proficiency in data ingestion frameworks (Kafka Connect, Flume, NiFi, Debezium, etc.).
  • Experience with stream processing technologies (Kafka Streams, Apache Flink, Spark Streaming, ksqlDB).
  • Strong knowledge of cloud-native platforms (AWS MSK, Azure Event Hub, GCP Pub/Sub).
  • Familiarity with containerization & orchestration (Docker, Kubernetes, OpenShift).
  • Strong skills in monitoring & troubleshooting Kafka/MQ clusters.
  • Experience working in high-transaction financial services/fintech environments is a strong plus.
  • Leadership and people management skills with the ability to drive teams and align with business goals.

Education:

  • Bachelor's or Master's in Computer Science, Software Engineering, or Information Technology.
  • Relevant certifications in Kafka, Event Streaming, or Cloud Platforms will be a plus.

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