Looking for individuals who will design the foundational data and ontology architecture enabling rule traceability, contextual execution intelligence, mapping relationships and AI-assisted governance.

Should be able to lead a team of engineers, excellent skill in hands on coding and extremely proficient in doing effective code review for production grade code.

Key Responsibilities :

Enterprise Data Architecture :

- Define domain-driven data architecture for Prism

- Design canonical data and ontology models

- Define metadata and lineage architecture standards

- Support enterprise-scale data governance implementation

Mapping and Context Architecture :

- Design relationship graph architecture

- Define entity resolution and context enrichment models

- Support API/interface contract modeling

- Design mapping rule architecture and system registry integration

Streaming and Execution Data Architecture :

- Design streaming data pipelines for rule execution analytics

- Support Kafka-Spark-data layer integration architecture

- Implement idempotent execution data patterns

- Design bronze/silver/gold execution data models

Governance and Lineage :

- Implement policy-to-rule lineage models

- Define auditability and traceability architecture

- Support execution observability and governance analytics

- Design metadata persistence and retrieval strategy

Required Skills :

Data and Governance Skills :

- Enterprise data architecture

- Metadata management

- Data governance and lineage architecture

- MDM and entity resolution concepts

- Ontology and semantic modeling

Platform and Engineering Skills :

- Graph databases and relationship modeling

- Streaming architecture (Kafka/Spark)

- Cloud-native data engineering

- Ephemeral and persistent storage architectures

- Modern DevOps and Git workflows

AI and Context Skills :

- Vector databases and semantic retrieval concepts

- AI-assisted metadata enrichment

- Execution traceability and contextual intelligence

- Domain-driven architecture principles

Preferred Experience :

- 12 years in enterprise data architecture

- Experience in banking or regulated industries

- Exposure to governance and metadata platforms

- Product/platform engineering experience preferred

- Coding Mandatory