Enterprise Data Architect

The

Enterprise Data Architect (EDA)

defines and evolves the organization’s

end‑to‑end data architecture

, ensuring that data assets, platforms, and flows are governed, structured, and leveraged in a consistent and secure way. He/She bridges business strategy, data governance, security, and technology by setting the

principles, guardrails, standards, and data operating frameworks

that shape how data is created, shared, integrated, and consumed across the company. As part of the Enterprise Architecture team — working alongside Business, Application, Data & Technology (incl. Security) Architects — the EDA acts as a

trusted advisor to management

and a key connector across domains. The EDA ensures architectural alignment in critical programs and provides the

frameworks and enabling guardrails

for documenting, managing, and maintaining the organization’s conceptual and logical data assets. He/She works closely with Business stakeholders, the Architecture community, the CISO, and Data Governance & Analytics teams to

drive data architecture maturity

, establish clear roadmaps, and embed data security, quality, and compliance throughout the enterprise. 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. 2) Lead Data Architecture Governance & Alignment

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

. 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. 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

, con