Sr. Data Architect
GA Atlanta 1050 Techwood Drive NW, United States
USD 154K-286K (estimate) Senior-level Full Time
Tasks
- Architect AI context layer
- Architect and maintain MLOps and LLMOps processes
- Bridge data performance with semantic meaning
- Consolidate canonical data models
- Define enterprise ontology and semantic layer vision requirements roadmap
- Design and deploy semantic abstraction layers
- Develop and enforce metadata management data contracts semantic version control
- Enable data and business logic discoverability and machine readability
- Expose canonical data via intelligent APIs
- Implement data quality and identity resolution frameworks
- Implement stream processing and event driven pipelines
- Ingest data using schema on read
- Integrate standards with CI CD
- Modernize lakehouse medallion stack
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Data Architecture | Data Contracts | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Databricks Unity | Databricks Unity Catalog | Delta Live Tables | Delta Live) | Dimensional Modeling | Dynamic Tables | Event Driven | Event-driven Pipelines | Feature Store | FinOps | GraphRAG | Identity resolution | Kimball methodology | Knowledge graph | LLMOps | Lakehouse | MLOps | Medallion Architecture | Metadata Management | Microsoft Fabric | OneLake | Ontology | Relational modeling | Schema on read | Semantic Versioning | Semantic layer | Snowflake | Snowflake Cortex | Snowflake Dynamic Tables | Snowflake Horizon | Stream processing | Unity Catalog | Vector Databases | Vector embeddings
Roles
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