Cloud Data Architect (With AI experience)
Tasks
- Architect AI data platform for single source of truth
- Build CI/CD pipelines for AI systems
- Build and govern feature store and semantic data contracts
- Create vector stores and hybrid retrieval layers
- Define PII detection masking encryption and compliance controls
- Design LLM fine tuning data infrastructure
- Design RAG retrieval infrastructure
- Design governed multi domain data models
- Design semantic layer ontologies and knowledge graphs
- Enforce RBAC attribute based policies and audit logging
- Establish AI serving architecture for multiple consumers
- Implement feedback loops and remediation for quality degradation
- Implement governance security access control for data and agents
- Implement model registry experiment tracking and evaluation
- Ingest transform store and serve AI ready data
- Maintain architecture standards and engineering enablement
- Own ML and LLMOps data infrastructure
- Own agent observability and output accuracy evaluation
- Own data stack batch and streaming pipelines
- Set SLAs for data freshness and output quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Attribute-Based Access Control | Attribute-based access | Audit Logging | Azure | CI/CD | ChromaDB | Data Contracts | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Encryption | Faiss | Feature Store | Kafka | Knowledge graphs | MLflow | Model Registry | Neo4j | OpenSearch | PII masking | Pinecone | PySpark | RAG | RBAC | Schema versioning | Spark Structured Streaming | Structured Streaming | Terraform | Text-to-SQL | Vector Database
Education
N/A
Roles
AI | AI Data Architect | Architect | Cloud Data Architect | Cloud) | Data Architect
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