AI Data Enablement Engineer
Core
Design, build, and operate trusted datasets, semantic models, and embedded AI experiences to enable natural language data interaction for Finance business users.
Role type
Senior IC data platform engineer (AI enablement)
Builds
AI-ready data products, semantic layers, governed data products, and conversational analytics applications
Domain
Digital Finance IT / Enterprise Data Platform
Deliverable
production ML models | product features
Required skills
Databricks (Genie, Unity Catalog), dbt, PySpark, SQL, Python, Airflow, Data Governance (RBAC, RLS, lineage), ETL/ELT engineering
Preferred skills
Pharma/Life Sciences domain, Streamlit, Databricks Apps, RAG frameworks (LangChain, LlamaIndex), Cost optimization
Technologies
Databricks, Unity Catalog, dbt, Airflow, PySpark, Streamlit, LangChain, LlamaIndex
Responsibilities
Design and build AI-ready data products with business semantics and KPIs; Implement semantic layers for BI and natural-language querying; Deploy and tune Databricks Genie spaces; Build RAG pipelines and conversational analytics apps; Engineer robust ETL/ELT pipelines; Implement data governance and security; Optimize platform and AI costs; Partner with Finance stakeholders on semantic models.
Seniority
Senior, hands-on IC
