Description

You will architect enterprise-grade data solutions for the custody lifecycle, focusing on event-driven systems and cloud migration.

Responsibilities

• Architect streaming solutions using Apache Kafka as the central event bus to decouple producers and consumers.
• Design and oversee deployment of data workloads across Public, Private, and Hybrid Cloud environments for high availability and cost optimization.
• Build and tune Apache Flink and Spark Streaming jobs for real-time fraud detection and regulatory reporting.
• Lead the design of data-centric microservices using event sourcing and asynchronous communication in containerized environments.
• Implement centralized security and governance via Cloudera SDX to ensure compliance with financial regulations.

Required Skills

• 14+ years of experience in data architecture and engineering.
• Expert-level knowledge of Cloudera Data Platform (CDP) and its integration within cloud-native infrastructures.
• Advanced skills in Kafka cluster planning, topic management, partitioning strategies, and performance tuning.
• Deep experience architecting data solutions on major Cloud Service Providers, focusing on managed compute and networking security.
• Strong proficiency in Apache Spark (Streaming/Batch) and working knowledge of Apache Flink.
• Familiarity with containerization (Docker/Kubernetes) and automated deployment tools.
• Experience designing scalable, automated ingestion frameworks for legacy system migration.

Preferred Skills

• Experience developing performant data marts and reporting layers using modern warehouse engines.

Key Skills

Education

Any Gradute