GenAI Data Platform Engineer
Core
Build and operate enterprise data platforms and pipelines to make structured and unstructured data usable by GenAI applications, including RAG solution development and data preparation for embedding/indexing.
Role type
Senior IC GenAI Data Platform Engineer
Builds
Enterprise data platforms, pipelines, lakehouse/warehouse solutions, and RAG data flows
Domain
Enterprise Data Engineering + Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Data Modeling, ETL/ELT, Data Orchestration, Cloud Infrastructure, LLM API Integration, RAG Development, Vector Search, Data Quality Monitoring
Preferred skills
Vector Database implementation, Hybrid Search, Reranking, Retrieval Quality Evaluation, Cloud Certifications
Technologies
Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, Git, CI/CD
Responsibilities
Build data ingestion, transformation, and integration workflows; Develop lakehouse or warehouse solutions; Process enterprise documents for GenAI with traceability; Connect LLM APIs and GenAI tools to data workflows; Monitor data quality, pipeline failures, latency, and cost; Version code, automate tests, and document designs.
Seniority
Senior, hands-on IC
