Senior Ai Context Engineer

Dematic Corp

Atlanta, Georgia, United States
Base: $134,250.00 - $179,000.00; bonus/equity: not...
Hybrid
10-15 years enterprise cloud data engineering
Gcp bigquery dataform pub/sub composer airflow
Semantic modeling and certified kpi frameworks
Dematic Corp is seeking a Senior AI Context Engineer to enhance its Enterprise Data Platform by developing AI-native, context-aware ecosystems. The ideal candidate should have over a decade of experience in cloud data engineering, semantic modeling, and AI-focused data architecture, with a strong emphasis on collaboration and technical execution

Job Summary

  • This role focuses on engineering semantic layers and AI-ready data abstractions to evolve the Enterprise Data Platform into an AI-native ecosystem.
  • The ideal candidate will design scalable batch and real-time streaming data pipelines in a modern GCP environment while collaborating with AI/ML teams.
  • Dematic offers competitive compensation ranging from $134,250.00 to $179,000.00 along with global opportunities and career development support.

Matching Summary

Match Score: 85

Dematic Corp is seeking a Senior AI Context Engineer to enhance its Enterprise Data Platform by developing AI-native, context-aware ecosystems. The ideal candidate should have over a decade of experience in cloud data engineering, semantic modeling, and AI-focused data architecture, with a strong emphasis on collaboration and technical execution.

Salary

Base: $134,250.00 - $179,000.00; Bonus/Equity: Not specified; Benefits: Competitive Compensation and Benefits

Skills & Requirements

Must-have

  • 10-15 years enterprise cloud data engineering
  • GCP BigQuery Dataform Pub/Sub Composer Airflow
  • Semantic modeling and certified KPI frameworks
  • SQL Python dimensional modeling lakehouse architectures
  • Batch and real-time streaming data pipelines
  • Metadata management lineage observability data quality

Nice-to-have

  • Data Mesh or domain-driven data architecture experience
  • AI LLM integration patterns including RAG exposure
  • Supply chain industry background
  • Mentoring engineers and promoting best practices
  • Open-source tech stack Iceberg Trino Kubernetes Docker

Key Requirements

  • 10-15+ years of experience in enterprise-scale cloud data engineering
  • Authorized to work in the U.S. without sponsorship
  • Hybrid work proximity to Atlanta GA Grand Rapids MI or Milwaukee WI

Work Rights

Must be authorized to work in the U.S. without sponsorship

Tailored Resume

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