AI Data Engineer Hybrid
Core
Design and build data components, pipelines, and semantic structures that power AI and GenAI solutions for enterprise data access and retrieval.
Role type
Senior IC AI Data Engineer
Builds
Data pipelines, transformations, integrations, and semantic models for AI/GenAI applications
Domain
Retail / Enterprise Data & AI
Deliverable
production ML models | product features
Required skills
Enterprise data platform design, Snowflake, Microsoft Fabric, RAG, embeddings, vector search, metadata design, data modeling, SQL, distributed processing (Spark), dbt, event streaming, secure data access patterns, CI/CD, automated testing
Preferred skills
Azure AI/Vertex AI familiarity, knowledge of ontologies/knowledge graphs, AI-assisted development
Technologies
Snowflake, Microsoft Fabric, Spark, dbt, Azure AI, Google Vertex AI, vector databases
Responsibilities
Design data models reflecting business meaning, build retrieval pipelines for structured/unstructured data, work with AI Engineers on context design, implement data quality/governance controls, tune data workloads for performance/cost, create reusable data components
Seniority
Senior, hands-on IC