Data Architect H/F Objectware

Role summary

Our client is looking for an experienced Data Architect to join a Data Fabric team and contribute to the design and implementation of enterprise data architecture.

The role focuses on building reusable data products for business domains, working closely with Master Data Management (MDM), Data Engineers, Analysts, Information Security teams and business stakeholders.

The position combines architectural leadership and hands-on work, including data modeling, integration design, governance implementation, and platform configuration.

Main responsibilities

Data architecture & governance

Identify and formalize enterprise master data domains (Customer, HR, Finance, etc.).

Collaborate with the MDM team to design golden record structures, consolidation logic and integration flows.

Design and document reusable master data products (schemas, contracts, access patterns, APIs).

Contribute to conceptual, logical and physical data modeling across data domains.

Work with Data Engineers to translate architecture into medallion layers, curated zones and integration pipelines.

Define governance standards including ownership, stewardship, lineage, classification and lifecycle management.

Configure metadata standards and data catalog structures to ensure discoverability and reuse.

Ensure architectural decisions are clearly documented and actionable.

Platform evolution, quality & governance

Design and implement data security patterns (RBAC, classification, masking, privacy controls).

Support implementation and operation of data governance tools (e.g. Microsoft Purview) including scanning, lineage validation and classification.

Define standards for data product documentation, discoverability and platform registration.

Review data domain implementations to avoid duplication or fragmentation of master data.

Ensure governance and metadata are integrated into CI/CD and deployment processes.

Identify and mitigate risks related to data inconsistency, shadow master data or uncontrolled data proliferation.

Support evaluation of new technologies and assess governance and integration impacts.

Support and enablement

Provide architectural guidance to Data Engineers and Data Analysts.

Participate in technical workshops and design sessions.

Support onboarding of new data domains using architectural templates and reference implementations.

Promote consistent metadata, security and data quality practices.

Act as a bridge between the Data Platform team, MDM, and governance/security stakeholders.