Senior Principal Enterprise Data Architect, AI Data Transformation
Appliance Park KY US, United States
USD 130K-180K (estimate) Senior-level Full Time
Tasks
- Advise business and IT stakeholders on AI data governance
- Apply enterprise architecture frameworks TOGAF
- Apply enterprise architecture frameworks Zachman
- Architect and deploy vector database infrastructure
- Architect cloud data warehouse and lakehouse solutions
- Architect ultra low latency data serving architectures
- Build embedding pipelines
- Build semantic context data layers and knowledge graph infrastructure
- Define AI and ML data pipeline standards
- Define and enforce data contracts
- Define enterprise AI data architecture blueprint
- Define enterprise feature store architecture
- Define streaming and event driven architecture patterns
- Design LLM integration architecture for RAG
- Design enterprise AI data readiness framework
- Design event driven AI data pipelines
- Ensure regulatory compliance for data architecture decisions
- Establish synthetic data generation capability
- Facilitate architecture review board for data and AI
- Govern data lineage
- Identify risks issues dependencies and bottlenecks
- Implement DataOps and pipeline governance
- Lead enterprise data layer enhancement
- Lead master data management strategy
- Manage metadata and data cataloging
- Translate requirements into architectural guidelines
- Validate AI training dataset representativeness
Perks/Benefits
- N/A
Skills/Tech-stack
ACID | Artificial Intelligence | CI/CD | Cloud Data | Cloud Data Warehouse | Data Architecture | Data Cataloging | Data Contracts | Data Generation | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Quality Testing | Data Warehouse | DataOps | Embeddings | Entity Resolution | Event Driven | Event-driven architecture | Feature Store | Infrastructure as Code | Knowledge graph | Lakehouse | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Metadata Management | Quality testing | Regulatory Compliance | Retrieval-Augmented Generation | Semantic data | Semantic data modeling | Statistical Analysis | Streaming Data | Synthetic Data Generation | Synthetic data | TOGAF | Vector Databases | Zachman | “as-code”
Education
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