Business Data Architect – Keying and Linking

About Us

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Job Description

We are seeking an experiencedBusiness Data Architect – Keying and Linkingto lead the design, development, and optimization of keying and linking processes that support enterprise-wide data integration, master data management (MDM), and identity resolution. You will be responsible for creating data architecture strategies that enable the accurate identification, deduplication, and unification of data entities across complex systems and business domains.

Qualifications

Key Responsibilities:

• Design and implementkeying and linking architecturesto enable accurate entity resolution and data deduplication across diverse data sources.
• Define and maintaindata matching rules, and record linkage strategies in support of Multi-sourcing and product 360 initiatives.
• Collaborate with business stakeholders togather requirementsand translate them into technical design for data integration and unification.
• Developingdata profiling, data quality assessment, and cleansing activities to support accurate keying and linking.
• Partner with IT and business teams to ensuregovernance and stewardshippolicies are upheld across data platforms.
• Develop and maintainmetadata and data lineagefor all keying and linking components.
• Evaluate and recommend tools and technologies forprobabilistic and deterministic matching(e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution).
• Ensure solutions are scalable, performant, and align with enterprise architecture standards and privacy regulations.
• Supportdata modeling effortsfor domains such as customer, product, and vendor.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
• 7+ years of experience in data architecture, with at least 3 years focused onkeying/linking or MDM.
• Strong understanding ofdata modeling,data integration, andidentity resolution techniques.
• Hands-on experience withentity resolution tools(Informatica, IBM MDM, Reltio, etc.).
• Proficiency in SQL and scripting for data profiling and transformation.
• Familiarity withdata governance,privacy regulations(GDPR, CCPA), and data lineage.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

Preferred:

• Experience in cloud-based data ecosystems (AWS, Azure, GCP).
• Familiarity with graph databases or fuzzy matching algorithms.

Experience in financial services, healthcare, retail, or other data-heavy industries