Area Architect
Core
Designing the foundation for next-generation product capabilities including native intelligence, personalization, predictive insights, and an agentic AI layer by establishing structured, trusted data standards.
Role type
Senior Data Architect (AI/ML & Data Platform)
Builds
Canonical consumer data layer, data product standards, semantic models, and governance mechanisms on Databricks to support analytics, machine learning, and AI.
Domain
E-commerce, Retail, Personalization, Data Engineering, AI/ML
Deliverable
production ML models | product features | infrastructure
Required skills
Architectural leadership across multiple teams, Data architecture and platform design, Data product thinking, Semantic data modeling, AI/ML pipeline understanding, System thinking, Trade-off analysis
Preferred skills
Experience with Databricks or similar lakehouse platforms, Experience designing canonical/semantic data layers for broad consumption
Technologies
Databricks
Responsibilities
Review and challenge architectural proposals from tech leads and developers, Drive the design of the canonical consumer data layer, Coaching tech leads on trade-off analysis and long-term architectural sustainability, Participating in roadmap discussions to inform technical feasibility and sequencing
Seniority
Senior, hands-on IC with leadership scope