About the role
Define scalable enterprise data architectures that support Analytics, AI, and GenAI initiatives.
Translate business and data challenges into scalable architectures and new engineering initiatives.
Responsibilities
- Design enterprise data architectures on Databricks and the Lakehouse
- Build ETL/ELT, data integration, and scalable platform designs
- Set up governance, metadata, and security standards
- Lead client discovery sessions and develop solution roadmaps
Required skills
- Databricks/Lakehouse, Spark, and Delta Lake
- Cloud architecture on AWS or Azure
- Enterprise data modeling
- Client facing, consultative experience running discovery sessions
Preferred skills
- Unity Catalog and MLflow
- NVIDIA ecosystem
- AI/ML, vector, and semantic data architecture
- Pharma or healthcare experience (not mandatory)
Ideal for architects who can translate business/data challenges into scalable architectures and new engineering initiatives
Rate:
Not specified
Location:
Indianapolis
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified