Lead Infrastructure Engineer Visa Sponsorship Jobs in Georgia
Lead infrastructure engineer jobs in Georgia are concentrated in Atlanta's technology corridor, where employers like Cox Enterprises, NCR Voyix, and global firms with Midtown and Buckhead offices actively hire for senior infrastructure roles. Georgia's data center growth and fintech sector create strong demand, and several of these employers have established visa sponsorship histories for infrastructure engineering positions.
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Get Access To All JobsINTRODUCTION
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 Director, Data Engineering 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-F.
KEY RESPONSIBILITIES
Architecture & Technical Leadership
- Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks (PySpark DLT, Lakeflow) using medallion Lakehouse architecture.
- Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka for high-volume industrial IoT telemetry.
- Build fault-tolerant, idempotent streaming architectures handling schema evolution, backpressure, and latency SLAs.
- Lead architecture reviews, set engineering standards, and drive decisions on data modeling, pipeline design, and platform evolution.
- Define technical direction for AI-ready data products including vector stores, embedding pipelines, and RAG-ready structured/unstructured data.
- Adopt emerging LLM orchestration frameworks (LangChain, LangGraph) to accelerate GenAI platform capabilities.
GenAI & AI Pipeline Development
- Build production GenAI pipelines - RAG workflows, document ingestion, PII anonymization and vector database infrastructure.
- Collaborate with data scientists and AI engineers to deliver high-quality, AI-ready datasets that improve downstream model performance.
DevOps, Security & Governance
- Enforce data governance, access control, and security policies; lead PII detection and anonymization strategies across the data platform.
- Champion CI/CD practices using GitHub Actions, DAB, Octopus, and Bamboo for automated, reliable pipeline delivery.
- Ensure compliance with enterprise security standards within the SDLC.
Team Development & Stakeholder Engagement
- Mentor engineers across seniority levels through code reviews, pairing, and technical coaching.
- Translate business and AI product requirements into clear technical roadmaps and execution plans.
- Partner with data scientists, product owners, and architects to align data investments with Honeywell's autonomy strategy.
BASIC QUALIFICATIONS
- 8+ 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 at scale.
- Strong 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 GitHub Actions for automating data pipeline deployments.
PREFERRED QUALIFICATIONS
- Experience with LangChain, LangGraph, 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 Methodologies.
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.
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: November 9 2026.
Relocation support may be provided.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
THE BUSINESS UNIT
Corporate (CORP) at Honeywell provides centralized services and strategic leadership that supports all business units globally. This unit focuses on driving innovation, operational excellence, and enabling technology solutions that empower Honeywell’s diverse portfolio of businesses to achieve sustainable growth and competitive advantage.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
INTRODUCTION
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 Director, Data Engineering 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-F.
KEY RESPONSIBILITIES
Architecture & Technical Leadership
- Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks (PySpark DLT, Lakeflow) using medallion Lakehouse architecture.
- Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka for high-volume industrial IoT telemetry.
- Build fault-tolerant, idempotent streaming architectures handling schema evolution, backpressure, and latency SLAs.
- Lead architecture reviews, set engineering standards, and drive decisions on data modeling, pipeline design, and platform evolution.
- Define technical direction for AI-ready data products including vector stores, embedding pipelines, and RAG-ready structured/unstructured data.
- Adopt emerging LLM orchestration frameworks (LangChain, LangGraph) to accelerate GenAI platform capabilities.
GenAI & AI Pipeline Development
- Build production GenAI pipelines - RAG workflows, document ingestion, PII anonymization and vector database infrastructure.
- Collaborate with data scientists and AI engineers to deliver high-quality, AI-ready datasets that improve downstream model performance.
DevOps, Security & Governance
- Enforce data governance, access control, and security policies; lead PII detection and anonymization strategies across the data platform.
- Champion CI/CD practices using GitHub Actions, DAB, Octopus, and Bamboo for automated, reliable pipeline delivery.
- Ensure compliance with enterprise security standards within the SDLC.
Team Development & Stakeholder Engagement
- Mentor engineers across seniority levels through code reviews, pairing, and technical coaching.
- Translate business and AI product requirements into clear technical roadmaps and execution plans.
- Partner with data scientists, product owners, and architects to align data investments with Honeywell's autonomy strategy.
BASIC QUALIFICATIONS
- 8+ 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 at scale.
- Strong 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 GitHub Actions for automating data pipeline deployments.
PREFERRED QUALIFICATIONS
- Experience with LangChain, LangGraph, 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 Methodologies.
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.
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: November 9 2026.
Relocation support may be provided.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
THE BUSINESS UNIT
Corporate (CORP) at Honeywell provides centralized services and strategic leadership that supports all business units globally. This unit focuses on driving innovation, operational excellence, and enabling technology solutions that empower Honeywell’s diverse portfolio of businesses to achieve sustainable growth and competitive advantage.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Lead Infrastructure Engineer Job Roles in Georgia
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Search Lead Infrastructure Engineer Jobs in GeorgiaLead Infrastructure Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for lead infrastructure engineers?
Atlanta-based employers with consistent H-1B visa sponsorship histories for senior infrastructure engineering roles include Cox Enterprises, NCR Voyix, Delta Air Lines, Equifax, and Global Payments. Large technology consultancies and managed services firms with Georgia offices, such as Cognizant and Infosys, also file regularly for infrastructure engineers. Financial services and healthcare IT companies in the metro area round out the sponsoring employer pool.
What visa types realistically apply to lead infrastructure engineer roles in Georgia?
The H-1B is the primary path, as lead infrastructure engineering qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field. Canadian and Mexican nationals may qualify for TN visa status under the USMCA Engineer category with the appropriate engineering degree. EB-2 and EB-3 employment-based green cards are also viable for long-term sponsorship. F-1 OPT and STEM OPT can bridge candidates to permanent sponsorship at qualifying employers.
How to find lead infrastructure engineer visa sponsorship jobs in Georgia?
Migrate Mate lists Georgia employers with verified sponsorship histories for lead infrastructure engineer roles, letting you search by city and filter to companies that have actively filed for this type of position. This is more reliable than broad job searches because it reflects actual DOL Labor Condition Application filing activity, not just job postings. Atlanta's technology and financial services sectors generate the highest concentration of sponsored infrastructure engineering openings in the state.
Which cities in Georgia have the most lead infrastructure engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of sponsored lead infrastructure engineer roles in Georgia. Within metro Atlanta, Midtown and Buckhead host technology headquarters and financial services firms with active sponsorship programs. Alpharetta, a northern suburb, has a dense cluster of technology and fintech companies that regularly sponsor senior engineering roles. Savannah and Augusta have smaller but growing technology footprints, primarily tied to logistics, healthcare IT, and defense contractors.
Are there state-specific factors that affect visa sponsorship for lead infrastructure engineers in Georgia?
Georgia's designation as a major data center hub, driven by favorable power costs and connectivity, creates sustained demand for senior infrastructure engineers at both operators and enterprise tenants. Georgia Tech in Atlanta produces a strong local engineering pipeline, which means sponsored roles often require international candidates to demonstrate specialized expertise in cloud infrastructure, network architecture, or DevOps at a lead or principal level to stand out. Georgia's fintech and logistics sectors add further sponsoring employer diversity beyond pure technology companies.
What is the prevailing wage for sponsored lead infrastructure engineer jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.