Description

Architect enterprise real-time data ecosystems.

Responsibilities

• Design end-to-end streaming platforms integrating Oracle Fusion/CPQ, Salesforce, Kafka, Flink, and Snowflake.
• Enable near real-time analytics through fault-tolerant, governed data pipelines.
• Architect event-driven cores using Kafka ingestion from Oracle Fusion, CPQ, and Salesforce.
• Implement stateful stream processing using Flink, covering windowing and CEP patterns.
• Design multi-layer Snowflake data platform models and define schema governance standards.

Required Skills

• 5+ years experience with streaming architectures (Kafka and Flink expertise).
• Expertise in Snowflake performance tuning and data modeling.
• Experience with Oracle ERP/Fusion and Salesforce integration patterns.
• Proficiency in designing production-scale data platforms.
• Experience with Salesforce, Oracle Fusion, CPQ, Kafka, Flink, Azure, and Terraform.
• Knowledge of Kubernetes for deployment automation.
• Ability to implement enterprise API patterns and CDC integration.

Key Skills

Education

Any Gradute