EAIG:AI Data Architect

• Design data models
• Define ingestion and feature pipelines
• Ensure metadata and lineage
• Partner with engineers for implementation.

Work Areas & Outcomes -

Data pipelines are scalable, highquality, and analyticsready with minimal rework.

• 12-15 years strong handson plus design depth.

For successful execution of the job, the candidate should possess:

• Data modeling, cloud data stacks, feature engineering, governance alignment.