Intellias

Data Architect (Metadata, Governance, Semantics)

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SeniorZdalnie·KrakówFull-time·B2B·Umowa o pracę

#438515·Dodano miesiąc temu·4

Źródło: justjoin.it

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Tech Stack / Keywords

Metadatadata governance

Podsumowanie oferty

You will work on designing data foundations enabling safe, scalable, and effective AI adoption in a highly regulated enterprise environment. The role involves enterprise metadata and data discovery architecture design, metadata management, and data governance strategy definition, as well as creating semantic layers, business glossaries, and knowledge graphs. You will lead architecture workshops and provide architectural guidance to engineering teams while supporting strategic data and AI initiatives.

Wymagania

8+ years of experience in Data Architecture or Data Platform roles.
3+ years of experience in Metadata Management, Data Governance, or Data Cataloging.
Hands-on experience with enterprise data catalog solutions such as DataHub, OpenMetadata, Collibra, or similar platforms.
Strong understanding of Metadata Management, Data Lineage, Data Discovery, Data Quality, Entity Resolution.
Experience designing federated (hub-and-spoke) metadata architectures.
Knowledge of semantic modeling, business glossaries, and knowledge graphs.
Strong stakeholder management and consulting skills.
Ability to create and present architecture documentation to senior stakeholders.

Nice to have:

Experience in Financial Services, Asset Management, or Market Data domains.
Knowledge of FIBO or other financial ontologies.
Experience with OpenLineage or Open Data Contract Standard.
Familiarity with semantic search and embeddings-based discovery.
Experience building AI-ready data foundations.
Experience working in highly regulated environments.

Obowiązki

Design and own enterprise metadata and data discovery architectures.
Define metadata management and data governance strategies.
Build federated metadata architectures across multiple business domains.
Design semantic layers, business glossaries, and knowledge graphs.
Establish metadata quality standards and governance processes.
Lead architecture workshops with business and technical stakeholders.
Act as a design authority and provide architectural guidance to engineering teams.
Create architecture documentation and support strategic data and AI initiatives.

Inne informacje

Przesyłając ten formularz, wyrażasz zgodę na przetwarzanie Twoich danych osobowych zgodnie z naszą Polityką Prywatności Rekrutacji - https://career.intellias.com/recruitment-privacy-notice. Jeśli chcesz wycofać swoją zgodę lub masz jakiekolwiek pytania dotyczące naszej Polityki Prywatności Rekrutacji, skontaktuj się z nami([email protected])

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