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Data Architect (Metadata, Governance & Semantics)

Hybrid in Bulgaria, Poland, Spain, United Kingdom·Added 4 days ago

Intellias

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Overview

Job details

Hybrid
Office and home days — the ad has the split.

Requirements

Have the right to work in Spain
Intellias doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Bulgaria, Poland, Spain, United Kingdom for hybrid days
No relocation package mentioned.
Have 8+ years of experience
Mid-level role.

Requirements

What we're looking for

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), including deployments outside managed cloud services — understanding of the concepts matters more than any specific product.
Hands-on experience with Python sufficient to read/review data engineering work (dbt models, pipelines) and collaborate closely with the Data Engineering track on this stream.
Strong practical experience with AI-assisted tools and agentic workflows, including the ability to identify relevant use cases and integrate AI capabilities into day-to-day engineering practices.
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 classification, metadata quality measurement.
Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases.
Experience working in on-premises or regulated environments: data residency, auditability, licence-scoped data entitlements (elevated from “plus” — this is the client’s actual environment).
Strong consulting and client-facing skills: leading working sessions, defending design decisions in written reviews, negotiating boundaries between teams with overlapping catalogue initiatives.
Able to produce client-ready architecture documents and written review responses without editorial support.
English B2+/C1 mandatory (client-facing discovery engagement).

Nice to have

Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations.
Domain experience in asset management, market data or fund reporting — nice-to-have only.
Experience designing metadata and discovery layers consumed by AI agents — directly relevant given this is an “AI Agents” stream; strong plus, not a blocker.
Familiarity with semantic search over metadata based on embeddings.
Pre-sales, discovery/solutioning experience, or experience joining an engagement already in progress (this project starts at discovery/assessment/scoping).

The role

Our client is a leading global 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.

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.

What you'll do

Own the federated metadata architecture: the central discovery layer, the domain catalogues for market data and curated reporting, and the federation contract that binds them.
Design domain metadata models in working sessions with the client teams that own the data, extending the client’s existing catalogue model instead of replacing it.
Define the approach to machine-derived metadata: what is harvested automatically, what is drafted by LLMs and approved by human stewards, what remains manual, and how its quality is scored.
Design the semantic layer: shared business-term definitions with per-department mappings, entity resolution across sources, and the knowledge graph that supports guided discovery.
Act as design authority for the engineering pod: review integration designs and keep parallel implementations aligned to one architecture.
Represent the design in client governance: reviews, written responses to senior stakeholders, coordination with the client’s own initiatives and with the parallel entitlement and security workstream.
Shape phased delivery plans, effort estimates and data-readiness prerequisites for the implementation phase.

About Intellias

Intellias is an AI-enabled product engineering and digital solutions partner, operating in the IT services industry. The company has over 20 years of engineering experience, employs more than 3,000 AI-enabled engineers, and serves over 170 enterprise clients worldwide. Intellias delivers digital products across mobility, healthcare and life sciences, financial services and insurance, retail, and iGaming, with a global network spanning 17 countries and 23 offices.

Intellias has a presence in Spain, with a validated office location in Malaga. The company's global delivery model and focus on senior engineering talent make it a relevant employer for international professionals, particularly those with expertise in software engineering, data engineering, AI/ML, and cloud infrastructure. With roles open in Spain across various engineering and architecture disciplines, Intellias offers opportunities for experienced professionals to work on complex, enterprise-scale projects.

Industry: IT Services
Founded: 2002
Employees: 3,000–5,000
Headquarters: Lviv, Ukraine
In Spain: Malaga
Website: intellias.com

Good to know if you are moving

Intellias has a validated office in Malaga, Spain, which is a key location for its Spanish operations.
The company operates in 17 countries with 23 offices, offering potential for international mobility and collaboration.
Intellias focuses on senior and mid-level engineering talent, with 96% of engineers at that level, indicating a high-skill environment.
The company serves over 170 enterprise clients worldwide, providing exposure to large-scale, cross-industry projects.
Intellias has been operating for over 20 years, indicating stability and long-term client relationships.

In their own words

About the company & team

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

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