... that help make the world smarter, safer and more sustainable. Required Qualifications Core ... Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
... that help make the world smarter, safer and more sustainable. Required Qualifications Core ... Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
... that help make the world smarter, safer and more sustainable. Required Qualifications Core ... Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
... that help make the world smarter, safer and more sustainable. Required Qualifications Core ... Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
Helper Cipher information
What is the difference between Helper Cipher vs Helper Technician?
| Aspect | Helper Cipher | Helper Technician |
|---|---|---|
| Required Credentials | Basic certifications or on-the-job training | Similar certifications, often with additional technical training |
| Work Environment | Fieldwork, installation sites, or client locations | Fieldwork and some technical support roles |
| Employer & Industry Usage | Common in security, IT, and communication industries | Used in technical support, security, and communication sectors |
| Search & Comparison Intent | Often compared for entry-level roles in security and communication | Compared for technical support and security roles |
The main difference between Helper Cipher and Helper Technician lies in their technical complexity and responsibilities. Helper Cipher typically involves basic support tasks, while Helper Technician requires more technical skills and certifications. Both roles are essential in security and communication industries, but Helper Technician positions often demand additional training and technical knowledge.
What are popular job titles related to Helper Cipher jobs in Georgia? For Helper Cipher jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Helper Cipher jobs in Georgia look for? The top searched job categories for Helper Cipher jobs in Georgia are:
Honeywell rating
8.3
Based on 177 frontline employees who took The Breakroom Quiz
62nd of 515 rated manufacturers
Job description
We are looking for a Senior Ontologist to lead the design, development, and operationalization of buildings ontologies and taxonomies that power data interoperability, analytics, and intelligent systems across connected buildings products.
This role is hands-on and strategic. You will work at the intersection of domain modeling, semantic technologies, and standards, shaping how complex data is represented, connected, and consumed at scale.
You will collaborate closely with domain experts, data engineers, platform architects, and product teams to ensure that semantic models are accurate, extensible, and aligned with industry standards and real-world operational needs.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.Required Qualifications
Core Expertise
- Deep, hands-on experience in ontology engineering and taxonomy design for industrial or building domains.
- Strong working knowledge of Brick Schema, Project Haystack, and IFC (not just theoretical familiarity).
- Proven experience building real-world, production-grade semantic models.
- Understanding of Large Language model along with structured knowledge of graphs for semantic backbone creation
Technical Skills
- Expert-level proficiency in OWL 2, RDF, RDFS, SPARQL, SHACL, SKOS, JSON-LD, and Turtle.Semantic Web Stack:
- Deep expertise in at least two of: Neo4j, Amazon Neptune, Stardog, GraphDB, Virtuoso, Ontotext, TigerGraph.Graph Databases:
- Familiarity with semantic querying (e.g., SPARQL, CIPHER) and metadata-driven architectures.
- Familiarity with cloud data stacks (AWS, GCP, Azure), Apache Kafka, dbt, Databricks, or Snowflake.Data Platforms:
- Experience with OWL reasoners (Pellet, HermiT, FaCT++) and rule-based systems (SWRL, RIF).Reasoning Engines:
- Familiarity with knowledge graph platforms like Palantir Foundry, Microsoft Fabric, or Google Enterprise Knowledge Graph.
- Ability to collaborate effectively with software and data engineers.
- Understanding of how industrial systems generate, structure, and consume data.
- Experience with digital twins, asset modeling and systems engineering.
- Experience designing ontology governance frameworks on a scale.
- Ability to evaluate and integrate open vs proprietary semantic models.
- Prior experience in a platform, product, or enterprise-scale environment.
- Experience working in a fast-paced technology environment focused on delivering a world class product within an agile methodology utilizing latest technology frameworks
Key Responsibilities
Ontology & Semantic Model Development
- Design, build, and maintain industrial ontologies, taxonomies, and knowledge models covering assets, spaces, processes, and operational data.
- Develop and extend models aligned with industry standards such as:
- Brick Schema
- Project Haystack
- ASHRAE 233P
- IFC (Industry Foundation Classes)
- Related building, utilities, energy, or asset-management ontologies
- Define clear concept hierarchies, relationships, constraints, and naming conventions.
- Conduct ontology alignment and integration with external knowledge bases and domain-specific ontologies.
Standards & Interoperability
- Map, align, and reconcile concepts across multiple industry schemas and customer-specific models.
- Design semantic alignment strategies between heterogeneous data sources (BMS, IoT, SCADA, CMMS, ERP, digital twins).
- Ensure models support interoperability, extensibility, and backward compatibility.
- Leverage large language models (e.g., GPT-4, Claude, LLaMA, Mistral) and NLP pipelines to automate ontology population, entity extraction, and relation classification
Applied Semantics & Engineering Collaboration
- Work closely with data engineering and platform teams to:
- Operationalize ontologies in production systems
- Support semantic querying, reasoning, and metadata-driven pipelines
- Define best practices for ontology versioning, governance, and lifecycle management.
- Translate abstract semantic models into practical, implementable artifacts.
Architecture Leadership & Strategy
- Define the long-term technical vision and roadmap for the enterprise semantic and knowledge graph platform.
- Establish architectural standards, design patterns, and reference architectures for semantic data integration across business units.
- Partner with data engineering, ML, product, and business teams to translate domain requirements into graph and semantic models.
- Evaluate and recommend emerging technologies, tools, and open standards in the knowledge graph and AI/LLM landscape.
Represent the organization in external technical communities, standards bodies, and industry working groups.
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About Honeywell
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Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.
Industry
Furniture manufacturing
Company size
10,000+ Employees
Headquarters location
Charlotte, NC, US
Year founded
1906