Data and AI Architect
Core
Designing shared data architecture for Agentic AI solutions on Databricks, focusing on secure ingestion, modeling, governance, and RAG retrieval patterns for IoT and time-series data.
Role type
Senior IC Data and AI Architect
Builds
Scalable, reusable data foundations and AI-ready data products for Agentic AI solutions
Domain
Data Engineering / Artificial Intelligence / IoT
Deliverable
production ML models
Required skills
Databricks architecture, Data modeling (event, time-series, dimensional, canonical), Ingestion pipelines (batch/streaming), IoT and time-series data optimization, Delta Lake, Unity Catalog, Apache Spark, Data governance and security
Preferred skills
Vector Search implementation, Embedding lifecycle management, RAG tuning and evaluation
Technologies
Databricks, Delta Lake, Unity Catalog, Apache Spark, Vector Search
Responsibilities
Design shared data and AI architecture on Databricks; Define data modeling standards for IoT and time-series; Architect ingestion and processing pipelines; Establish governance, lineage, and access controls; Define secure data access patterns; Design RAG retrieval patterns including indexing strategy; Produce architecture decision records and reusable templates; Partner with stakeholders to align scope and manage risks.
