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 | dashboards & analysis
Required skills
Snowflake, Databricks, dbt, PySpark, Snowpark, SQL, Python, Airflow, Unity Catalog, RAG pipelines, data governance (RBAC, RLS, masking, lineage), cost optimization
Preferred skills
Streamlit, Databricks Apps, LangChain, LlamaIndex, Veeva CRM, IQVIA, SAP integration
Technologies
Snowflake Cortex, Databricks Genie, Unity Catalog, Streamlit, Airflow, dbt, PySpark, Snowpark
Responsibilities
Design and build AI-ready data products with business semantics and KPIs; Implement semantic layers supporting natural-language querying; Deploy and tune Snowflake Cortex or Databricks Genie capabilities; Engineer ETL/ELT pipelines for trusted data; Implement data governance and security in regulated environments; Optimize platform and AI costs; Partner with stakeholders to translate requirements into semantic models.
Seniority
Senior, hands-on IC
