Application Data Architect - Data Streaming

Job Description

Role Overview We are seeking a senior Application Data Architect to lead the design and implementation of complex, event-driven data ecosystems within a retail banking environment. In this role, you will act as a foundational architect, defining how data flows across the enterprise—from legacy on-premise mainframes to modern, high-throughput streaming platforms. The ideal candidate is an expert in data movement and integration, with a deep specialization in Kafka and API-led connectivity. You will be responsible for ensuring that our data architecture is scalable, resilient, and compliant, serving as the bridge between business objectives and technical execution. Key Responsibilities Streaming & Event Architecture: Own the architectural strategy for high-volume data streaming using Kafka, defining patterns for real-time ingestion, event processing, and complex data pipeline orchestration. Integration Strategy: Architect comprehensive API-led integration solutions (REST/SOAP/gRPC) that enable secure and efficient data exchange between modern cloud services and on-premise core banking platforms. Data Design & Modeling: Establish canonical data models and integration contracts that enforce data consistency across the enterprise. Governance & Lineage: Partner with data governance teams to enforce strict data quality, lineage, and PII handling standards, ensuring all streaming and integration patterns remain audit-ready. Technical Oversight: Provide architecture guidance and oversight throughout the development lifecycle, focusing on system performance, scalability, and the reduction of technical debt. Banking Dom