Lead AI Enterprise Data Engineer
Tasks
- Architect scalable data and AI solutions across cloud and Databricks
- Automate incident monitoring and reporting
- Build real-time dashboards for eCommerce and KPIs
- Define and implement operational and business metrics
- Design and deploy AI models for anomaly detection and churn forecasting
- Design orchestration for automated decision-making
- Develop AI copilots and internal tools
- Develop cost optimization and governance frameworks
- Develop scalable data pipelines in Databricks with PySpark and Delta Lake
- Implement CI/CD pipelines for AI/ML workflows
- Implement automated data quality frameworks
- Integrate AI with platform APIs and workflows
- Integrate LLMs and AI agents with production systems
- Optimize data lake structures
- Track AI-driven KPIs and deploy LLM solutions
Perks/Benefits
- Bonus
- Community support
- Flexible work
- Medical/Dental/Vision
- Paid time off
- Parental leave
- Retirement plans
Skills/Tech-stack
AI Governance | AI modeling | AWS GenAI | Automation | Claude | Cloud Architecture | Containerization | Data Pipelines | Databricks | Delta Lake | Grafana | Langchain | Looker | ML workflows | Medallion Architecture | NoSQL | OpenAI | Power BI | PySpark | SQL | Tableau | Workflows
Education
Roles
AI Data Engineer | Data Engineer | Engineer | Lead AI Data Engineer
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