
Lead Cloud Native Architect
2 days ago
About this role
Job SummaryWe are seeking a skilled Chief Data Architect to lead the transformation of our legacy Java Spring Boot monolith into a cutting-edge, cloud-native architecture.
This entails designing and implementing robust, scalable components for ingesting, processing, and persisting high-frequency telemetry data. You will work closely with data scientists to host, orchestrate, and optimize workloads in Python, Scala, and Java.
- Design and implement large-scale data pipelines using Apache Spark.
- Collaborate with cross-functional teams to develop and deploy containerized applications.
- Implement data lake/lakehouse architectures using Delta Lake.
To be successful in this role, you should have:
- Extensive experience in backend development with languages such as Java, Scala, and Python.
- A proven track record working in agile teams to develop complex applications.
- A deep understanding of streaming and batch data processing, ideally with Apache Spark or similar.
- Experience with containerization (Docker) and orchestration (Kubernetes).
The following skills would be beneficial:
- Strong knowledge of message brokers (MQTT, Kafka) and caching systems (Redis).
- Comfortable working across multiple languages (Java, Python, Scala).
- Experience in designing systems for scalability, multi-tenancy, and hybrid deployments.
You should be comfortable with coding, testing, and debugging in an Agile environment. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for success in this role.
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