Business Data Architect - Keying and Linking

ZipRecruiter; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company, Coface, is seeking a Business Data Architect to lead the design and optimization of keying and linking processes to support enterprise-wide data integration. This role involves creating strategies for accurate data resolution and collaborates closely with both technical and non-technical stakeholders. Ideal candidates will have extensive experience in data architecture and be proficient in relevant tools and methodologies.

Qualifications

• 7+ years of experience in data architecture, 3+ years focused on keying/linking or MDM.
• Hands-on experience with entity resolution tools.
• Proficiency in SQL and scripting for data profiling and transformation.

Responsibilities

• Design and implement keying and linking architectures for data integration.
• Gather requirements from stakeholders for data integration and unification.
• Develop data quality assessment and cleansing activities.

Skills

Data modeling

Data integration

Entity resolution

Data governance

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science

Tools

Informatica MDM

IBM InfoSphere

AWS Entity Resolution

Job description

Job Description

About Us

Coface is a team of 4,500 people of 78 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 experienced Business Data Architect – Keying and Linking to lead the design, development, and optimization of keying and linking processes that support enterprise-wide data integration, master data management (MDM), and 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 implement keying and linking architectures to enable accurate entity resolution and data deduplication across diverse data sources.
• Define and maintain data matching rules, and record linkage strategies in support of Multi-sourcing and product 360 initiatives.
• Collaborate with business stakeholders to gather requirements and translate them into technical design for data integration and unification.
• Developing data profiling, data quality assessment, and cleansing activities to support accurate keying and linking.
• Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms.
• Develop and maintain metadata and data lineage for all keying and linking components.
• Evaluate and recommend tools and technologies for probabilistic 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.
• Support data modeling efforts for 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 on keying/linking or MDM.
• Strong understanding of data modeling, data integration, and resolution techniques.
• Hands-on experience with entity resolution tools (Informatica, IBM MDM, Reltio, etc.).
• Proficiency in SQL and scripting for data profiling and transformation.
• Familiarity with data governance, privacy regulations (GDPR, CCPA), and data lineage.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

:

• 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