Data & AI Solution Architect

Data & AI Solution Architect – Data Modelling & Conversational AI

About the Role

We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for the OneData platform.

Working within the Enterprise Architecture team, you will design enterprise data modelling and conversational AI architectures that enable trusted data and AI analytics across the organization. Your primary focus will be on reusable data modelling standards, solution architecture patterns, and semantic engineering frameworks that enable self-service analytics, modern data engineering, and Databricks Genie conversational AI. You will also guide delivery teams in adopting enterprise architecture standards and best practices to deliver trusted, governed, and scalable data products.

You will translate enterprise architecture standards into solution designs, reusable patterns, and technical guidance, enabling HUB & SPOKE teams to independently build trusted data products aligned with the OneData platform.

What You'll Do

• Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service analytics, and conversational AI.
• Design solution architectures for modern data and AI platforms on Databricks.
• Define and promote enterprise standards for data products, data modelling, Medallion Architecture, DBT, Unity Catalog, and data engineering.
• Create reusable architecture patterns, reference designs, and implementation guidance for HUB & SPOKE teams.
• Design semantic models and architecture patterns that enable trusted analytics, and Databricks Genie conversational AI.
• Lead architecture reviews, design workshops, office hours, and technical coaching to guide teams in delivering solutions aligned with enterprise standards.

Qualifications

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.