Architecture Views

01 System ContextWho uses the platform, which systems of record feed it, and what consumes its output — the boundary of scope, with no internal components shown. HTML · SVG · draw.io 02 High-Level Platform ArchitectureThe end-to-end shape in one picture: a Kafka event backbone and batch landing feeding a medallion lakehouse, orchestrated by Airflow, serving BI, APIs and event consumers. HTML · SVG · draw.io 03 Layered ArchitectureWhat depends on what. Dependencies point downward only; platform services are consumed by every layer above them. HTML · SVG · draw.io 04 Container Architecture (C4 Level 2)The deployable units inside the platform boundary, the technology each one runs on, and the protocols between them. HTML · SVG · draw.io 05 Data Architecture — Medallion ZonesHow data is zoned by ownership, rebuildability and retention, from landing through to business-ready gold tables. HTML · SVG · draw.io 06 Real-Time Event IngestionThe path a high-volume event takes from producer to enriched topic, including contract validation, dead-lettering, deduplication and windowed feature computation. HTML · SVG · draw.io 07 CDC and Historical Batch IngestionLog-based change capture from core banking systems, the initial historical snapshot, and how both land in bronze and merge into slowly changing silver dimensions. HTML · SVG · draw.io 08 Source Onboarding PatternsFour reusable templates — transactional events, database CDC, files and semi-structured payloads — so a new source is onboarded without touching existing pipelines. HTML · SVG · draw.io 09 Data Quality FrameworkRule definition, structural and semantic checks, disposition of failures, and the escalation and replay path back into the pipeline. HTML · SVG · draw.io 10 Schema and Data Contract LifecycleHow a schema change is proposed, checked for compatibility, registered, rolled out to producers and consumers, and eventually deprecated. HTML · SVG · draw.io 11 Real-Time Risk EnrichmentHow a trigger event is joined with profile and feature context, scored against declarative rules, published for the risk domain, and fed back as labelled outcomes. HTML · SVG · draw.io 12 Integration ArchitectureEvery inbound and outbound interface, with its protocol, cadence and owner — the complete catalogue of how the platform touches other systems. HTML · SVG · draw.io 13 Security Architecture and Trust ZonesTrust boundaries from the internet through to the data plane, what crosses each one, and where an attacker is stopped. HTML · SVG · draw.io 14 Governance Controls by ZoneWhich control applies where — classification, PII protection, access, lineage, retention and quality, mapped across every data zone. HTML · SVG · draw.io 15 Deployment TopologyWhat runs where across three availability zones and a warm standby region, and what survives the loss of each failure domain. HTML · SVG · draw.io 16 CI/CD and Environment PromotionHow a pipeline change reaches production, which gates stop a bad one, and how a failed release is rolled back. HTML · SVG · draw.io 17 Observability and SLA MonitoringSignal types against pipeline stages — how each signal is emitted, collected, stored, turned into a detection, and acted on. HTML · SVG · draw.io 18 Replay and Historical ReprocessingHow a logic change, defect or regulatory restatement is reprocessed from immutable history without disturbing live pipelines. HTML · SVG · draw.io 19 Card Transaction Event SequenceThe ordered message exchange for a single card authorisation, from switch to fraud decision, including the schema-rejection path. HTML · SVG · draw.io 20 Customer 360 Data ModelThe core curated entities, their keys, and the joins that produce the customer golden record and its risk and interaction history. HTML · SVG · draw.io