Enterprise AI is forcing organisations to rethink their data estates. Traditional reporting platforms are no longer enough for GenAI and AI-driven decision-making. Clients need data that is trusted, governed and consumable by both people and intelligent systems.
As a Databricks Architect, you will help clients transform fragmented data into AI-ready lakehouse platforms. You’ll advise on architecture across Databricks and cloud ecosystems, covering data products, governance, metadata, lineage, semantic layers and GenAI data patterns.
This is a client-facing consulting role. You will solve ambiguous problems, shape architecture decisions, and communicate clearly with both technical teams and senior stakeholders.
Working in cross-functional teams, you’ll deliver target architectures, platform assessments, data product designs, governance models and implementation roadmaps.
We’re hiring across levels. Junior roles focus on delivery and platform expertise; senior roles require enterprise thinking, stakeholder influence and leadership.
We’re looking for strong data architects with depth in areas such as Databricks/lakehouse architecture, governance, semantic modelling, data products, metadata or GenAI (e.g. RAG).