- Atlanta, Georgia, United States
- Hybrid
- Full-time · Manager
- 8+ years
Lead Data Engineer responsible for architecting and owning data foundations for Honeywell's Industrial AI & Data Platforms, driving technical leadership, and building AI-ready data products.
Compensation
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.
Responsibilities
- Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks
- Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka
- Build fault-tolerant, idempotent streaming architectures
- Lead architecture reviews and set engineering standards
- Define technical direction for AI-ready data products
Requirements
- Bachelor's degree in Computer Science or related field
- Nice to have: LangChain
- Nice to have: LangGraph
- Nice to have: MLOps
- Nice to have: Model versioning