Principal Data Architect
Core
Own end-to-end data architecture for the Active Data Layer (ADL) programme, defining data flows, models, and assurance strategies for World-Check's full data lifecycle from acquisition to distribution.
Role type
Senior IC Principal Data Architect
Builds
Data architecture, data flows, data quality frameworks, and AI/ML data foundations for financial risk intelligence products.
Domain
Financial services / Risk Intelligence / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data modelling (conceptual, logical, physical), Event-driven architectures, Data lineage and provenance, Data contracts and schema governance, Cloud-native data services, AI/ML data foundations (feature stores, vector databases), Data migration strategy
Preferred skills
Knowledge graphs and entity resolution, MLOps/LLMOps tooling, Automated reconciliation and drift detection frameworks
Technologies
Snowflake, Databricks, Spark, Kafka, Elasticsearch, Graph databases, AWS, Azure, GCP
Responsibilities
Design data migration architecture from legacy to new platforms, Architect data flows between legacy systems and customer-facing channels, Drive data assurance strategy embedding quality and governance, Design AI evaluation infrastructure and feature stores, Lead conceptual to physical data model design for ADL domains, Mentor engineers on data modelling and assurance best practices
Seniority
Senior, hands-on IC
