Lead Enterprise Data Architect
Charlotte, NC, United States
USD 135K-198K (estimate) Senior-level Full Time
Tasks
- Architect cloud data platforms for lakehouse and warehouse
- Architect master data management solutions and hierarchies
- Architect semantic context layer and metric logic
- Build data architecture prototypes and proofs of concept
- Create canonical data models and integration patterns
- Define enterprise data architecture strategy
- Define ingestion transformation and consumption patterns
- Design metadata cataloging and lineage frameworks
- Troubleshoot complex data architecture issues
- Write SQL and define transformation logic
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Atlan | Azure | Batch Processing | Canonical Data | Canonical Data Modeling | Cloud Data | Cloud Data Platforms | Cloud platform | Collibra | DAMA-DMBOK | DBT | Data Architecture | Data Cataloging | Data Governance | Data Ingestion | Data Lineage | Data Management | Data Modeling | Data Products | Data Quality | Data Transformation | Data Warehouse | Data mesh | Data platforms | Databricks | Dimensional Modeling | Enterprise Architecture | Event Driven | Event-driven architecture | Feature Stores | Google Cloud | Google Cloud Platform | Informatica | Lakehouse | Master Data | Master Data Management | Metadata Management | Metric Definitions | Real Time | Real-time Data | Relational modeling | Reltio | SQL | Semantic Relationships | Semantic layer | Snowflake | Streaming | TOGAF | Vector Stores | Web Services
Education
N/A
Roles
Regions
Countries
States
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