Principal Data Engineer
USD 102K-170K Senior-level Full Time
Tasks
- Define data exchange requirements
- Design and implement enterprise integration solutions using APIs
- Design develop test and deploy scalable integration solutions
- Drive API first integration strategy
- Embed data quality controls reconciliation and monitoring
- Ensure performance reliability scalability security and compliance
- Establish and govern integration design reviews
- Establish reusable integration frameworks and canonical data models
- Implement integration observability standards
- Integrate source system data into data products
- Lead application onboarding and source to target mapping
- Lead end to end data integration strategy
- Manage integration dependencies risks and release readiness
- Modernize legacy integrations to cloud native architecture
- Own integration architecture decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API first | APIs | Azure | CI/CD | Containerization | Data Federation | Data Governance | Data Management | Data Modeling | Data Quality | Data mesh | Databricks | DevOps | ELT | ETL | Enterprise Data | Enterprise Data Management | Event Driven | Event-driven architecture | Generative AI | Infrastructure as Code | LLMOps | LLMs | MLOps | Messaging | Microsoft Fabric | Power BI | Prompt engineering | RAG | Reliability Engineering | Responsible AI | SRE | Site Reliability | Site Reliability Engineering | Test automation | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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