Senior Principal Data and AI Engineer- R&D IT
Tasks
- Build ETL and ELT pipelines
- Define access models and data classifications
- Define data and AI platform architecture
- Design build and operationalize agentic AI
- Design build and operationalize predictive and generative AI
- Develop reusable frameworks and templates
- Embed security governance and compliance controls
- Implement observability monitoring and evaluation
- Improve operational processes and automation
- Lead incident investigations
- Manage schema versioning and data lifecycle
- Migrate AWS Glue to Databricks
- Modernize data lakehouse platform
- Optimize performance and cost
- Provide technical mentoring and guidance
- Translate R and D needs into backlog items
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lake Formation | AWS S3 | Agile | Amazon Athena | CI/CD | Data Lineage | Data Observability | Databricks | Delta Lake | DevOps | ELT | ETL | Infrastructure as Code | Lake Formation | Lakehouse | Language Models | Large Language Models | MLOps | Metadata Management | Model Evaluation | Model Monitoring | Python | RAG | SQL | Schema evolution | Scrum | Vector Database | “as-code”
Education
Master of Computer Science | Master of Engineering | Master of Science
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