Principal Industrial AI Data Architect

🔥 0 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hexion Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

🏗️ Construction

🏭 Manufacturing

Automotive • Construction • Manufacturing

Hexion Inc. is a global leader in resin technologies and chemical solutions. The company specializes in producing specialty chemicals and materials that are utilized across various industries, including construction, automotive, and aerospace. Hexion's commitment to innovation and sustainability positions it as a significant player in the chemical manufacturing sector.

📋 Description

• Design and govern data architecture enabling reliable, scalable AI across industrial environments • Design end-to-end data flows from edge systems through cloud and AI pipelines to edge inference • Define data storage patterns, data movement, and transformation strategies • Ensure architecture supports real-time processing, batch analytics, and model lifecycle integration • Design and govern feature pipelines, storage, and lifecycle for AI model features • Define feature engineering pipelines for cloud training and edge inference • Ensure consistency between training datasets and runtime inference data • Prevent feature drift and data mismatch through automated validation • Translate canonical semantic definitions into physical data models, schemas, and pipelines • Ensure data structures conform to enterprise standards and platform contracts • Define data interfaces for internal AI teams and external model providers • Support model versioning, feature compatibility, and performance validation • Design data pipelines and access patterns for multi-tenant environments • Ensure customer data isolation, secure access controls, scalable tenant onboarding, and pipeline reuse • Partner with semantic architecture, edge and OT architecture, platform engineering, and AI/data science teams • Operate as a thought leader and drive adoption of data pipeline and AI data standards • Balance long-term architectural vision with near-term delivery needs

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • 10+ years of experience in data architecture, industrial data systems, or IoT platforms • Strong experience with time-series data, including historian systems • Strong experience with data pipelines and ETL/ELT • Strong experience with distributed data systems • Understanding of AI/ML data requirements and feature engineering concepts • Experience with industrial IoT or edge-to-cloud platforms • Experience with manufacturing systems and OT + IT integration • Experience with cloud data platforms; AWS preferred • Familiarity with streaming architectures • Familiarity with event-driven systems • Familiarity with data governance frameworks • Must be at least 18 years of age • Successful completion of a drug test and background investigation • Authorization for additional periodic background checks as required by CFATS or applicable regulations

🏖️ Benefits

• Tools, training, and opportunities for continuous development • Inclusive culture of growth, collaboration, and accountability • Travel to manufacturing sites and partner locations as needed (~10–25%)