MDM Data Engineer: Governance & Integration

AAIS (American Association of Insurance Services); United States; On-site; USD 117,000 - 143,000; Full time

Job summary

AAIS is seeking a seasoned MDM Data Engineer to own the full lifecycle of master data, from ingestion to survivorship and delivery. You will architect MDM solutions, implement data quality rules, and collaborate with data stewards and engineering teams to enable enterprise data governance across party, policy, and reference data domains.

The role emphasizes hands-on MDM expertise, strong data modeling, SQL, Python, and cloud experience (AWS).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related discipline.
• 5+ years of data engineering, with at least 3 years on MDM platform development and data governance.
• Experience owning MDM implementations end-to-end including data model design and integration delivery.
• Proficiency in SQL and Python; experience with data quality tooling and profiling methodologies.

Responsibilities

• Build and maintain the MDM platform with entity resolution, match/merge rules, survivorship, and golden records.
• Define and enforce data models for party, policy, and reference data domains.
• Architect MDM hub configurations (registry, consolidation, co-existence).
• Develop data integration pipelines feeding MDM from diverse sources (batch and near real-time).
• Collaborate with stakeholders, maintain data governance policies, and ensure data quality and lineage.

Skills

MDM platforms

SQL

Python

Data governance

Data modeling

Cloud experience (AWS)

ETL/ELT

Communication

Education

Bachelor’s or Master’s in CS/IS/Data Management

Tools

Informatica MDM

Reltio

Semarchy

AWS Glue

Job description

AAIS is seeking a seasoned MDM Data Engineer to own the full lifecycle of master data, from ingestion to survivorship and delivery. You will architect MDM solutions, implement data quality rules, and collaborate with data stewards and engineering teams to enable enterprise data governance across party, policy, and reference data domains.

The role emphasizes hands-on MDM expertise, strong data modeling, SQL, Python, and cloud experience (AWS).