About the Role
Dubai, UAE (Hybrid) — client-facing, MENAP engagements
Leads discovery, advisory, and solution design for enterprise clients unifying regional data (performance marketing, e-commerce, social) into central analytics platforms (e.g. Databricks).
We are looking for a Principal Solution Architect — Data & Analytics to lead client-facing discovery and advisory engagements focused on data unification, gap assessment, and lakehouse architecture extension. This is not a build-only role — you will lead executive workshops, own the as-is/to-be assessment, and produce the roadmap and business case that becomes the implementation SOW. You will work alongside a Marketing/Digital Analytics Specialist and, where scope requires it, an AI Automation & Data Extraction Specialist — but you own the client relationship and the technical narrative.
Lead stakeholder workshops with regional analytics, marketing, and e-commerce leads to map current data landscape.
Key Responsibilities
- Classify data gaps precisely — connectivity (no pipe exists), governance (mapping/master data unresolved), or access (data exists but sits with a third party) — since each has a different fix and cost.
- Assess existing central platform capabilities (e.g. Databricks Lakeflow Connect, AI Search/RAG, Delta Lake, Clean Rooms) to determine what can be extended vs. what needs new tooling.
- Design end-to-end data unification architecture spanning structured (ERP/CRM) and previously-missing sources (performance marketing, social, e-commerce).
- Favor native platform capabilities over third-party tooling where a supported native path exists, to avoid unnecessary tool sprawl and stay aligned with the client’s own platform strategy.
How to Apply
More jobs at get9to5jobs.com