Senior Data & AI Engineer — Semantic Modeling

Zoho; Town of Carmel (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

RADcube is hiring a hands-on Senior Engineer who knows data, AI, and the business. You will delve into complex enterprise schemas, build models, semantic layers, and metadata to enable accurate AI responses.

You will contribute to RADLabs accelerators, including generative BI and agentic platforms, and work with clients in pharma, life sciences, and healthcare. You will collaborate on schema and data modeling, semantic layer enablement, and governance, while ensuring data quality and clear

Qualifications

• 6+ years in data engineering, analytics engineering, or BI development.
• Strong SQL and understanding of relational and dimensional modeling.
• Ability to learn and navigate large enterprise schemas (SAP, Salesforce, MES, or similar).
• Hands-on experience with AWS (Redshift, Glue, Athena, S3) and/or Azure (Synapse, Fabric, Data Factory), plus Databricks or Snowflake.
• Proficiency in Python for data work.
• Practical exposure to LLMs on structured data, such as text-to-SQL, semantic layers, or AI-assisted analytics.
• Excellent stakeholder communication and business sense.

Responsibilities

• Schema & Data Modeling: Build and maintain data models following team standards.
• Semantic Layer & AI Enablement: Translate raw tables into business-friendly semantic models and enrich metadata.
• Business Understanding: Participate in client discovery sessions to define KPIs and reporting needs.
• Quality & Collaboration: Enforce data quality, governance, and documentation; review peers' work.

Skills

Data engineering

SQL

Enterprise schemas

Cloud platforms

Python

LLMs on structured data

Stakeholder communication

Tools

SAP

Salesforce

MES

Databricks

Snowflake

Job description

RADcube is hiring a hands-on Senior Engineer who knows data, AI, and the business. You will delve into complex enterprise schemas, build models, semantic layers, and metadata to enable accurate AI responses.

You will contribute to RADLabs accelerators, including generative BI and agentic platforms, and work with clients in pharma, life sciences, and healthcare. You will collaborate on schema and data modeling, semantic layer enablement, and governance, while ensuring data quality and clear