Senior MDM Engineer

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Design and construct resolved identity and relationship foundations for clients in the financial services sector.

• Take full ownership of end-to-end MDM and relationship-graph architecture encompassing data modeling, integration, data quality, and governance.

• Develop and configure match and merge logic, survivorship and trust rules, validation rules, and management of golden records.

• Create entity resolution, golden records, relationship graphs, source-data pipelines, and master-data syndication.

• Set up data-quality baselines along with survivorship and stewardship operating models.

• Define the identity seam connecting the client identity platform and the MDM layer.

• Establish engineering standards and document a repeatable delivery methodology.

• Mentor and develop a small engineering team.

• Collaborate with data governance, CRM and source-system owners, and business stakeholders.

• Simplify complex MDM concepts for both technical and non-technical audiences.

• Create crosswalks between source-system keys and canonical party identifiers.

• Implement merge, unmerge, and split handling, validation, and lifecycle management for golden records.

• Model person, legal entity, household, account, relationship, hierarchy, crosswalk, and reference data domains.

• Design relationship-graph ontology with effective dating.

• Develop profiling, data-quality rules, exception handling, steward workflows, issue queues, dashboards, and data dictionaries.

• Design inbound/outbound integrations, ingestion jobs, change data capture, and real-time resolve-and-lookup services.

• Convert authenticated identity claims into resolved party identifiers.

• Manage cloud environments across development, testing, QA, and production with an emphasis on performance tuning, monitoring, and cost management.

• Construct graph queries and traversals for multi-hop questions with explainable, evidenced assertions and effective dates.

• Prepare for audit and regulatory review with lineage, decision logs, and traceable survivorship.

⛳️ Requirements

• Between ten to fifteen years of experience in enterprise data engineering and architecture, with master data management implemented in production environments.

• Capability to both architect and construct MDM systems.

• Required experience in financial services, with a strong preference for private and commercial banking.

• Proven experience in physical MDM design utilizing a party model.

• Background in resolving duplicated or unresolved entities upstream in identity.

• Familiarity with enterprise identity platforms, such as Ping.

• Experience in building for audit in a regulated industry, having successfully navigated a real audit or examination.

• Experience with AI-assisted MDM, including intelligent match scoring, automated survivorship recommendations, and anomaly detection.

• Familiarity with banking systems including Fiserv, Salesforce, Broadridge, and Fenergo.

• Proven track record of mentoring or leading a small engineering team.

• Experience in consulting or client-facing delivery roles.

• Exposure to externalized authorization or relationship-based access control.

• Strong SQL skills and proficiency in Python, with Java or .Net as necessary.

• Hands-on experience with at least one enterprise MDM platform such as Informatica MDM, Reltio, Semarchy, Ataccama, or Profisee.

• Familiarity with data governance and quality tools like Ab Initio or Collibra, as well as workflow tools.

• Experience with modern cloud data stacks preferred on Azure, including medallion or lakehouse architecture.

• Experience with Neo4j/Cypher or Cosmos DB/Gremlin.

• Knowledge of KYC, AML, and beneficial ownership requirements under the Bank Secrecy Act and the USA PATRIOT Act.

• Ability to manage PII, tokenization, and access controls appropriately.

• Certifications are preferred but not mandatory.

• Must reside in the U.S. and hold U.S. citizenship.

• A valid LinkedIn profile is required.

• A successful background check may be necessary.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) retirement plan.

• Paid holidays.

• Vacation time.

• Personal and family sick leave.

• Reasonable accommodations during the hiring process.