Technical Architect Kafka & Flink Data Platform

We are seeking an experienced Technical Architect Real-Time Data Platform to design, implement, and govern a scalable, event-driven data ecosystem. This role will focus on enabling near real-time data ingestion and processing from enterprise systems such as Oracle Fusion Cloud, Oracle CPQ Cloud, and Salesforce.

The platform will leverage Apache Kafka for event streaming, Apache Flink for real-time stream processing, and Snowflake as the analytical data platform to deliver high-performance, secure, and governed data solutions.

Key Responsibilities

• Design end-to-end event-driven architecture (Oracle/Salesforce Kafka Flink Snowflake).
• Define streaming patterns, schema governance, scalability, and fault tolerance.
• Architect real-time ingestion pipelines using Kafka and CDC/API-based integrations.
• Design stream processing using Apache Flink (stateful processing, windowing, CEP).
• Establish Snowflake data models (raw curated semantic) and performance standards.
• Implement security, governance, monitoring, and operational readiness.
• Define deployment, CI/CD, and observability frameworks.

• Required Skills
• Apache, Kafka & schema registry
• Apache Flink streaming architectures
• Snowflake data modeling & performance tuning
• Oracle Fusion / ERP & Salesforce integration patterns
• CDC tools (e.g., Debezium)
• Azure, Kubernetes, Terraform

Experience

• 12+ years in data engineering/platform architecture
• 5+ years in streaming/event-driven architectures
• Experience designing enterprise-scale data platforms