Data & AI Solution Architect

Role & responsibilities

8+ years of experience in enterprise solution architecture or modern cloud data platforms.

Strong experience with Databricks, DBT, Unity Catalog, SQL, and Python.

Deep understanding of dimensional modelling, semantic modelling, Medallion Architecture, and data product design.

Experience designing semantic layers using Databricks Metric Views and enabling analytics or conversational AI with Databricks Genie is highly desirable.

Strong stakeholder management, technical leadership, and the ability to guide delivery teams in adopting enterprise architecture standards.

Success Measures

Adoption of enterprise standards across HUB & SPOKE teams.

Increased self-service delivery and reduced implementation effort.

High-quality, reusable and governed enterprise data & Genie solutions