This role focuses on evolving the enterprise data platform into an AI-native, context-aware ecosystem through semantic modeling and certified KPI frameworks
Job Summary
This role focuses on evolving the enterprise data platform into an AI-native, context-aware ecosystem through semantic modeling and certified KPI frameworks.
The ideal candidate will engineer scalable batch and real-time streaming data pipelines in a modern GCP environment while collaborating with AI teams.
The position offers competitive compensation ranging from $134,250.00 to $179,000.00 along with global opportunities and career development.
Matching Summary
This role focuses on evolving the enterprise data platform into an AI-native, context-aware ecosystem through semantic modeling and certified KPI frameworks.
Salary
Base: $134,250.00 - $179,000.00; Bonus/Equity: Not specified; Benefits: Competitive Compensation and Benefits
Skills & Requirements
Must-have
Enterprise-scale cloud data engineering
GCP BigQuery Dataform Pub/Sub Composer
Semantic modeling and KPI governance
Batch and real-time streaming pipelines
Metadata management and lineage tracking
Nice-to-have
Data Mesh or domain-driven architecture
AI/LLM integration and RAG patterns
Supply chain industry background
Mentoring engineers and best practices
Microservices-based data architecture
Key Requirements
10-15+ years of enterprise cloud data engineering experience
Deep expertise in SQL, Python, and dimensional modeling
Authorized to work in the U.S. without sponsorship