13 sep
|
Jobtome
|
Cangas
Data Architect Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a Data Architect to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client.
A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. Mucha suerte
This is a hands-on architect role.
You will co-own the pattern library with the client’s architecture team, write reference implementations, and unblock engineering decisions across the programme.
Project Overview: Our client is an independent, active general asset manager with over R3 trillion in assets under management.
They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.
As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.
Requirements: 10+ years of data platform architecture experience, with several years on Databricks in production.
Deep hands-on knowledge of Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, Spark, Photon and Databricks Asset Bundles.
Strong data modelling: entity resolution, slowly changing dimensions, event and state modelling, semantic layer design.
Experience designing Azure-native EDP topologies (workspaces, clusters, network, identity, cost controls).
Experience implementing enterprise data catalogues (Collibra, Purview, Alation, AWS DataZone or similar) integrated with a technical catalogue.
Comfortable writing reference code, reviewing PRs and pairing with engineers.
Fluent working English.
Nice to have: Active Databricks certifications Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers CDMP DAMA or
📌 Data Architect (Cangas)
🏢 Jobtome
📍 Cangas