Principal Data Engineer
US017 NJ New Brunswick - 1 J&J Plaza, United States
USD 102K-170K Senior-level Full Time
Tasks
- Apply data mesh and federated governance
- Build AI-ready data pipelines
- Create knowledge graphs and document intelligence pipelines
- Define data engineering strategy
- Design retrieval-augmented generation solutions
- Design scalable secure governed data and AI solutions
- Develop embedding creation and multimodal processing pipelines
- Develop enterprise data products and pipelines
- Drive modern engineering practices for reliability performance security observability
- Establish data modeling standards
- Establish prompt engineering and model evaluation standards
- Implement data governance and data quality management
- Implement lakehouse and warehouse architectures
- Implement vector databases and semantic search
- Lead API and event driven integration patterns
- Lead architecture and design reviews
- Manage technical risks dependencies and impediments
- Mentor engineers and technical leaders
- Operationalize LLMOps and MLOps
- Own technical architecture and roadmap
- Set up AI observability and responsible AI guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | API | Agentic AI | Azure | Azure AI | Azure AI Services | Azure OpenAI | CI/CD | Containerization | Data Federation | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data mesh | Databricks | DevOps | Embeddings | Enterprise Data | Enterprise Data Management | Event Driven | Event-driven architecture | Generative AI | Infrastructure as Code | Knowledge graphs | LLMOps | MLOps | Master Data | Master Data Management | Metadata Management | Microsoft Fabric | Observability | Power BI | Prompt engineering | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Search | Test automation | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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