Senior AI-First Data Engineer
Tasks
- Create semantic layers metadata structures and knowledge frameworks
- Design evolve and scale cloud data platform for AI applications
- Design systems for safe AI agent querying and interaction with business data
- Develop data products for trusted data access by AI agents and business users
- Enable AI driven reporting forecasting and business intelligence workflows
- Evaluate emerging AI technologies and improve data team productivity
- Improve reliability observability governance security and performance
- Lead transition from batch to streaming data systems
- Provide technical leadership through architecture guidance code reviews mentorship and knowledge sharing
- Use AI tools to accelerate development testing documentation debugging and monitoring
Perks/Benefits
- Collaborative culture
- Continuous learning
- Exposure to cutting edge AI and data engineering
- Flexible work location
- Globally distributed team
- Professional growth
- Remote-friendly work environment
Skills/Tech-stack
Apache Airflow | Artificial Intelligence | Business Intelligence | CRM | Customer Data | Customer Data Platform | DBT | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | Data integration | Data orchestration | Data platform | Data product | Data product development | Databricks | Event Driven | Event-driven architecture | Knowledge graphs | Machine Learning | Product Development | Python | Retrieval-Augmented Generation | SQL | Streaming | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Senior Data Engineer
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