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 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.

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 identity 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.

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