Principal Data Architect
Tasks
- Apply emerging architecture patterns for AI driven outcomes
- Automate data pipelines ML workflows and AI production deployments
- Define enterprise data architecture principles
- Design data and AI architectures end to end
- Design lakehouse data storage and processing
- Design secure resilient and high performance AI and analytics workloads
- Enable advanced analytics machine learning and generative AI workflows
- Lead evaluation selection and adoption of cloud data analytics and AI technologies
- Maintain reference architectures and roadmaps
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- 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 | LLM | 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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