Data Architect – Lakehouse & Azure Platform

About the role

Join a leading global asset manager that is executing a firm‑wide data strategy. You will be responsible for shaping and governing the Lakehouse architecture that underpins the Enterprise Data Platform, ensuring data is treated as a product across more than 70 business domains.

Key responsibilities

• Own the Lakehouse architecture, Unity Catalog design and medallion standards for all domain teams.
• Author and maintain Architecture Decision Records for the platform.
• Design integration patterns for ingestion, processing and serving, and codify them as reusable reference implementations.
• Review domain designs, contribute to code reviews and evolve the reference pattern library.
• Define FinOps guardrails and observability mechanisms across the platform.
• Implement agent rules and skill definitions to enforce architectural standards automatically.

Required profile

• 10+ years of data platform architecture experience, with several years of production Databricks usage.
• Deep hands‑on knowledge of Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, Spark, Photon and Databricks Asset Bundles.
• Strong data‑modelling expertise (entity resolution, slowly changing dimensions, event/state modelling, semantic layer design).
• Experience designing Azure‑native EDP topologies (workspaces, clusters, networking, identity, cost controls).
• Background implementing enterprise data catalogues (Collibra, Purview, Alation, AWS DataZone or similar).
• Fluent English and comfortable writing reference code, reviewing PRs and pairing with engineers.

Required skills

• Databricks
• Delta Lake
• Unity Catalog
• Lakeflow Declarative Pipelines
• Apache Spark
• Photon
• Databricks Asset Bundles
• Azure (workspaces, clusters, networking, identity, cost controls)
• Enterprise data catalogue tools (Collibra, Purview, Alation, AWS DataZone)