Lead AI Context Architect - Data Platform & Semantics

Dematic; Atlanta (GA); Hybrid; USD 134,250 - 179,000; Full time

Benefits offered by this job

Career Development

Competitive Compensation and Benefits

Pay Transparency

Global Opportunities

Job summary

Dematic is seeking a highly experienced Semantic Context Data & AI Engineer to evolve its Enterprise Data Platform into an AI-native, context-aware ecosystem. The role centers on semantic modeling, KPI frameworks, metadata systems, and AI-ready data abstractions for trusted analytics and reliable AI consumption.

The ideal candidate will hands-on engineer scalable cloud data pipelines (GCP preferred) with architectural vision and cross-functional collaboration.

Qualifications

• Designs semantic models and KPI layers ensuring trusted metrics.
• Experience building modern data platforms in cloud environments.
• Strong data governance, metadata standards, and data contracts.

Responsibilities

• Design and implement enterprise semantic models and certified KPI layers for trusted metrics.
• Build AI-safe data abstraction layers ensuring consistency across analytics and AI use cases.
• Develop and enforce metadata standards, data contracts, and semantic governance frameworks.

Skills

Semantic modeling

Cloud data engineering

Data governance

Python

SQL

DataOps

AI/ML collaboration

CI/CD for data

Tools

BigQuery

Dataform

Pub/Sub

Composer/Airflow

Cloud Run

Iceberg

Trino

Kubernetes

Docker

Job description

Dematic is seeking a highly experienced Semantic Context Data & AI Engineer to evolve its Enterprise Data Platform into an AI-native, context-aware ecosystem. The role centers on semantic modeling, KPI frameworks, metadata systems, and AI-ready data abstractions for trusted analytics and reliable AI consumption.

The ideal candidate will hands-on engineer scalable cloud data pipelines (GCP preferred) with architectural vision and cross-functional collaboration.