Job 139747

Honeywell

**
Azure databricks (pyspark dlt, lakeflow)
Medallion lakehouse architecture
Azure event hub and apache kafka
** Honeywell is seeking a Lead Data Engineer to join its Industrial AI & Data Platforms team, focusing on architecting and managing data foundations for AI applications. The role requires extensive experience in data engineering, particularly with Azure Databricks and IoT telemetry, and offers a collaborative environment where the candidate will lead technical decisions and mentor team members. **

Job Summary

  • Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks using medallion Lakehouse architecture.
  • Build production GenAI pipelines including RAG workflows, document ingestion, PII anonymization and vector database infrastructure.
  • Mentor engineers across seniority levels through code reviews, pairing, and technical coaching.

Matching Summary

Match Score: 75

** Honeywell is seeking a Lead Data Engineer to join its Industrial AI & Data Platforms team, focusing on architecting and managing data foundations for AI applications. The role requires extensive experience in data engineering, particularly with Azure Databricks and IoT telemetry, and offers a collaborative environment where the candidate will lead technical decisions and mentor team members. **

Skills & Requirements

Must-have

  • Azure Databricks (PySpark DLT, Lakeflow)
  • medallion Lakehouse architecture
  • Azure Event Hub and Apache Kafka
  • GenAI pipelines
  • CI/CD using GitHub Actions
  • 8+ years data engineering experience

Nice-to-have

  • LangChain, LangGraph frameworks
  • time-series databases
  • containerization (Docker)
  • Agile and Scrum Methodologies

Key Requirements

  • 8+ years data engineering experience
  • 2+ years lead or senior role
  • US Person status required

Work Rights

US Person required

Tailored Resume

Cover Letter