Lead Data Engineer

Job-:
Engineering

Location:

Atlanta, GA, United States Workplace:
Hybrid

Schedule:

Full time, Day Posted:
Honeywell is accelerating its transformation from industrial automation to full autonomy and the data that powers that future starts here. As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at scale: from terabytes of IoT sensor telemetry streaming through our medallion lakehouse to production-grade Generative AI pipelines that deliver actionable intelligence across Honeywell's global industrial operations.

You will serve as a technical anchor for a team of engineers, shaping architecture decisions, building cutting edge AI solutions, raising engineering standards, and directly building the AI-ready data products that Honeywell's autonomy mission depends on. This role sits at the intersection of modern data engineering and applied GenAI, if you are energized by building systems that have real-world industrial impact, this is your role.

You will report directly to our Sr. Data Engineering Manager and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.

Hybrid Work Schedule

Note:

For the first 90 days, New Hires must be prepared to work 100% onsite M-FQualificationsYOU MUST HAVE8+ years of data engineering experience with at least 2 years in a lead or senior role, demonstrating progression in technical complexity and team leadership.

Hands-on experience building and operating medallion lakehouse architectures (Bronze / Silver / Gold).Deep expertise in Apache Spark / PySpark with production experience on Azure Databricks ong proficiency with streaming platforms - Apache Kafka and/or Azure Event Hub for real-time IoT data.

Cloud data architecture skills (Azure preferred; AWS/GCP a plus) with experience designing scalable, cost-effective data lakes and warehouses using cloud-native services.

Data modeling and schema design expertise for both transactional and analytical workloads, including dimensional modeling and data vault methodologies.

Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding pipelines, and document ingestion.

MLOps familiarity including model versioning, feature stores, and monitoring/observability for data and ML systems.

Demonstrated ability to lead technical design reviews, mentor engineers, and drive architectural decisions with stakeholder buy-in.

Proficiency in CI/CD using Git Hub Actions for automating data pipeline deployments.

WE VALUE Experience with Lang Chain, Lang Graph, or other agentic AI orchestration frameworks.

Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
Knowledge of MLOps practices and experience building data pipelines for AI model deployment

Experience with time-series databases and IoT data modeling patterns

Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads

Strong background in data quality implementation for AI training data Experience working with distributed teams and cross-functional collaboration

Knowledge of data security and governance practices for AI systems

Experience working on analytics projects with Agile and Scrum MethodologiesUS PERSON REQUIREMENTS:

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status In the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date:

May
26, 2026.Relocation support may be provided BENEFITS OF WORKING FOR HONEYWELL 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. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance;
Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance;
Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more ()The application period for the job is estimated to be 40 days from the job…