Data & AI Architect

Position Summary

The Data & AI Solutions Architect is the client's senior technical authority for the Society Data Store (SDS) platform and its AI capabilities. The Architect is responsible for the end-to-end technical direction of the SDS — from ingestion and the Bronze/Silver/Gold medallion layers through the AI-ready knowledge core — and translates CLIENT's data strategy into scalable, governed, and AI-enabled solutions. This is a hands-on, delivery-oriented role that partners closely with engineering, analytics, and business stakeholders across CLIENT.

Qualifications
8 years of progressive experience in data engineering, data architecture, or solutions architecture roles
Hands-on Snowflake experience in production — External Tables, Dynamic Tables, Cortex Analyst, and Open Catalog strongly preferred
Demonstrated experience designing and operating Apache Iceberg-based lake houses on S3 in a production environment
Experience with enterprise ingestion and orchestration tools — Talend, Airflow, or equivalent — at scale
Proficiency with dbt for transformation layer design and Gold layer data product delivery
Familiarity with AI/knowledge layer technologies: Amazon Neptune, RDF/graph patterns, OWL/SKOS ontology design, or Graph RAG architectures
Strong Python and SQL skills with a Git-based, code-first development workflow
Proven ability to communicate technical architecture to non-technical executive and business stakeholders
Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience
Experience with Snowflake Cortex, semantic/metric layers, or NL→SQL tooling is a strong differentiator

Best Regards

SaiRam G