Data Architect (Metadata, Governance & Semantics)
Location: Remote from Spain (an indefinite Spanish employment contract)

Our client is a leading general investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes.
As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.
Project Overview:
We build the data foundations that make AI useful and safe inside regulated financial firms. The value of AI is capped by the data its agents can reach: if an agent cannot find, interpret, trace or be correctly permissioned against data, the capability is useless, or worse, unsafe.



Your job is to close that gap.
Requirements:
8+ years in data architecture or data platform roles, including 3+ years in metadata management, data governance or data cataloguing across a large and diverse data estate.
Architectural experience with enterprise data catalogues (e.g. DataHub, OpenMetadata, Collibra or similar); understanding of the concepts matters more than any specific product.
Solid knowledge of metadata and lineage standards (e.g. OpenLineage, Open Data Contract Standard or similar) and experience integrating with proprietary in-house metadata and event models.
Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links, domain-level catalogues with rich local detail, and a clear contract between the two.
Practical experience with data governance operating models: ownership and stewardship roles, sensitivity class

📌 Data Architect (España)
🏢 Intellias
📍 España