Data Architect

Tasks

• Apply data privacy classification and retention policies
• Architect bounded context decomposition using DDD
• Author policy as code for federated governance
• Create schema and contract evolution rules
• Define data product interoperability standards
• Design federated data governance
• Design lakehouse reference architecture and CDC patterns
• Develop global identifier and shared semantic layer
• Implement lineage driven impact analysis
• Model dimensional Data Vault 2.0 anchor models
• Set AI ready semantic layers for governed RAG and knowledge graphs

Perks/Benefits

• N/A

Skills/Tech-stack

AI Ready | AI ready semantic layers | Access patterns | Agentic data | Agentic data access patterns | Anchor modeling | AtScale | Bounded context | Bounded context decomposition | CCPA | CDC | Contract evolution | Cube | DAMA-DMBOK | DCAM | Data Governance | Data Interoperability | Data Lineage | Data Modeling | Data Product Taxonomy | Data Stewardship | Data Vault | Data Vault 2.0 | Data access patterns | Data product | DataOps | Dbt Semantic Layer | Dimensional Modeling | Domain-Driven Design | Event Driven | Event-driven architecture | GDPR | Global identifier strategy | HIPAA | Impact analysis | Knowledge graphs | Lakehouse | Medallion Architecture | Ontology Modeling | PCI | Policy-as-Code | Product taxonomy | RAG | SOX | Schema evolution | Semantic data | Semantic data modeling | Semantic layer | Semantic layers | Universal geo dimensions | Universal time | “as-code”