Principal Data Architect
Tasks
- Apply emerging architecture patterns
- Define enterprise data architecture principles
- Design data ingestion pipelines
- Design data processing and analytics
- Design end-to-end data and AI architectures
- Design lakehouse storage
- Design secure resilient high performance workloads
- Develop future state roadmaps
- Enable generative AI workflows
- Enable machine learning workflows
- Implement automation in AI production deployments
- Implement automation in ML workflows
- Implement automation in data pipelines
- Lead technology evaluation selection and adoption
- Maintain reference architectures
- Translate business objectives into scalable solutions
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
API Management | Advanced Analytics | Apache Kafka | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | Data Ingestion | Data Processing | Data mesh | Databricks | Event Driven | Event Hubs | Event-driven architecture | Feature Engineering | Generative AI | Lakehouse Architecture | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Snowflake | Synapse Analytics | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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