Enterprise Data Architect, Brussels
Enterprise Data Architect, Brussels
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Brussels, Belgique
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Publiée: il y a moins d’une semaine
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Ajouter
Description
Your Mission
Build a
coherent, secure, and future‑ready enterprise data architecture
that enables trustworthy data, analytics at scale, and consistent information interoperability across the business. 1) Set&Socialize Data Architecture Frameworks and Guardrails Define and maintain
enterprise data architecture standards
, reference models, and reusable data patterns (conceptual/logical models, canonical definitions, data flows, lineage). Establish
guardrails, principles, and guidelines
for data modelling, data exchange, documentation, and platform usage. Translate data strategy into
practical playbooks
, templates, and guidance that business and IT teams can adopt consistently. Ensure data security, privacy, and compliance are embedded by design in all data‑related architectures. Contribute to and help run the
architecture validation framework
, ensuring data decisions align with enterprise principles. Drive consistent alignment between
Data Governance, CISO and Enterprise Architecture governance
and participate in enterprise governance processes covering both
technology and business aspects
of data architecture. Provide early architectural guidance and perform effective challenge in major programs to ensure adherence to the target state. 3) Own and Drive Data Roadmaps Define and maintain
multi‑year roadmaps
for all data‑related capabilities (data platforms, analytics, data governance, quality, MDM, metadata, integration). Identify data architecture opportunities across different domains and propose actionable improvements. Ensure data‑related initiatives align with enterprise vision, long‑term architecture, and platform strategy.4) Data Asset Management&Documentation Define and maintain the approach on the
conceptual and logical data models
, data glossary, and enterprise data asset inventory. Provide guardrails and oversee the implementation of
documentation standards
, ensuring clear definitions, lineage, ownership, and relationships across data objects. Promote consistency in information concepts across domains, enabling reusable APIs, analytics, and integration patterns. 5) Collaboration&Stakeholder Engagement Build strong partnerships across IT, Business, Security, Data Governance, and Analytics teams to ensure alignment on data architectural standards and practices. Act as a key partner to the
Data Science community
, supporting trustworthy data foundations and staying informed on analytical and AI evolution. Foster a collaborative architecture culture by sharing insights, patterns, and best practices across teams. Requirements
Who You Are An experienced data‑oriented architect who can connect strategy, governance, and technology, and guide teams toward a secure and coherent enterprise‑wide data landscape. Experience University degree or equivalent in Computer Science, Information Management, Engineering, or related fields.7‑10 years of experience, with significant exposure to enterprise data architecture, data management, or analytics platforms. Experience with enterprise‑level data initiatives, governance, and modelling across complex organizations. Technical Expertise Strong knowledge of
Enterprise and Data Architecture concepts
, frameworks, and best practices. Deep familiarity with
Data Platforms&Analytics technologies
(Azure, SAP, etc.). Expertise in
data modelling
, conceptual/logical design, data flows, lineage, and enterprise data models. Knowledge of
TOGAF, DAMA DMBOK, BIZBOK
and their application in enterprise environments. Understanding of
Business Capabilities, Value Streams, and processes
and their relationship to data. Experience with modelling tools (ArchiMate; ARIS preferred). Soft Skills Strong written and oral communication skills (Languages:
Dutch or French
, and English). Energetic, engaging, and outcome‑oriented. Able to collaborate effectively across teams, challenge constructively, and bring clarity to complex discussions. Our offer
At SNCB, you’ll join an open corporate culture and contribute to our digital transformation. You’ll work in a role with real social impact and plenty of room to make your own mark. Hybrid working
, with a
balanced weekly mix of office and remote work
, combined with flexible hours. 35 days of annual leave A
mobility package
with a
company car
(also available via our mobility plan)
or alternative mobility choices
, complemented by a public transport season ticket. Target bonus Comprehensive insurance package
, with hospitalisation and dental care for the whole family. Coverage of
outpatient medical costs
. Group insurance
, including a supplementary pension (cafeteria plan). Net allowances
for hybrid working and an
internet allowance
.
#J-18808-Ljbffr
Build a
coherent, secure, and future‑ready enterprise data architecture
that enables trustworthy data, analytics at scale, and consistent information interoperability across the business. 1) Set&Socialize Data Architecture Frameworks and Guardrails Define and maintain
enterprise data architecture standards
, reference models, and reusable data patterns (conceptual/logical models, canonical definitions, data flows, lineage). Establish
guardrails, principles, and guidelines
for data modelling, data exchange, documentation, and platform usage. Translate data strategy into
practical playbooks
, templates, and guidance that business and IT teams can adopt consistently. Ensure data security, privacy, and compliance are embedded by design in all data‑related architectures. Contribute to and help run the
architecture validation framework
, ensuring data decisions align with enterprise principles. Drive consistent alignment between
Data Governance, CISO and Enterprise Architecture governance
and participate in enterprise governance processes covering both
technology and business aspects
of data architecture. Provide early architectural guidance and perform effective challenge in major programs to ensure adherence to the target state. 3) Own and Drive Data Roadmaps Define and maintain
multi‑year roadmaps
for all data‑related capabilities (data platforms, analytics, data governance, quality, MDM, metadata, integration). Identify data architecture opportunities across different domains and propose actionable improvements. Ensure data‑related initiatives align with enterprise vision, long‑term architecture, and platform strategy.4) Data Asset Management&Documentation Define and maintain the approach on the
conceptual and logical data models
, data glossary, and enterprise data asset inventory. Provide guardrails and oversee the implementation of
documentation standards
, ensuring clear definitions, lineage, ownership, and relationships across data objects. Promote consistency in information concepts across domains, enabling reusable APIs, analytics, and integration patterns. 5) Collaboration&Stakeholder Engagement Build strong partnerships across IT, Business, Security, Data Governance, and Analytics teams to ensure alignment on data architectural standards and practices. Act as a key partner to the
Data Science community
, supporting trustworthy data foundations and staying informed on analytical and AI evolution. Foster a collaborative architecture culture by sharing insights, patterns, and best practices across teams. Requirements
Who You Are An experienced data‑oriented architect who can connect strategy, governance, and technology, and guide teams toward a secure and coherent enterprise‑wide data landscape. Experience University degree or equivalent in Computer Science, Information Management, Engineering, or related fields.7‑10 years of experience, with significant exposure to enterprise data architecture, data management, or analytics platforms. Experience with enterprise‑level data initiatives, governance, and modelling across complex organizations. Technical Expertise Strong knowledge of
Enterprise and Data Architecture concepts
, frameworks, and best practices. Deep familiarity with
Data Platforms&Analytics technologies
(Azure, SAP, etc.). Expertise in
data modelling
, conceptual/logical design, data flows, lineage, and enterprise data models. Knowledge of
TOGAF, DAMA DMBOK, BIZBOK
and their application in enterprise environments. Understanding of
Business Capabilities, Value Streams, and processes
and their relationship to data. Experience with modelling tools (ArchiMate; ARIS preferred). Soft Skills Strong written and oral communication skills (Languages:
Dutch or French
, and English). Energetic, engaging, and outcome‑oriented. Able to collaborate effectively across teams, challenge constructively, and bring clarity to complex discussions. Our offer
At SNCB, you’ll join an open corporate culture and contribute to our digital transformation. You’ll work in a role with real social impact and plenty of room to make your own mark. Hybrid working
, with a
balanced weekly mix of office and remote work
, combined with flexible hours. 35 days of annual leave A
mobility package
with a
company car
(also available via our mobility plan)
or alternative mobility choices
, complemented by a public transport season ticket. Target bonus Comprehensive insurance package
, with hospitalisation and dental care for the whole family. Coverage of
outpatient medical costs
. Group insurance
, including a supplementary pension (cafeteria plan). Net allowances
for hybrid working and an
internet allowance
.
#J-18808-Ljbffr
Informations clefs
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Nom de l’entrepriseYpto
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Titre de posteEnterprise Data Architect
Conseils de Sécurité
Soyez méfiant en cas d’embauche sans demande d’entretien prélabale.
Informations supplémentaires sur l’annonce
Enterprise Data Architect est visible sur Locanto dans la catégorie Bruxelles Design, Conception.
Pour le moment, c’est la seule annonce dans cette catégorie pour Bruxelles.
Vous voulez en voir plus ? Alors élargissez votre recherche pour consulter les annonces dans les alentours de Bruxelles, comme par exemple Design, Conception à Ixelles, Ganshoren ou encore Jette. Il y a encore plus de petites annonces dans un rayon de 15 km pour cette catégorie. Cliquez ici pour consulter ces annonces.