Senior MDM Engineer – AWS Data Mastery

Programmers.io; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Programmers.io in New York is seeking a Senior Data Management Engineer with deep MDM experience to design and implement Golden Records for key domains. You will lead end-to-end MDM initiatives, choosing platforms like Reltio and integrating them with AWS services for scalable data ingestion and governance.

Responsibilities include building automated ETL/ELT pipelines, defining match/merge rules, and ensuring data quality across enterprise data domains.

Qualifications

• Reltio MDM: hands-on experience
• AWS Services: hands-on experience
• Programming: Python; SQL for data manipulation and transformation
• Data Wrangling: data preparation and transformation
• Problem Solving: strong analytical skills
• Communication: ability to communicate complex results clearly

Responsibilities

• MDM Solution Implementation: lead end-to-end design and implementation of MDM platforms (e.g., Reltio)
• AWS Cloud Integration: architect and maintain integrations between MDM and AWS services (S3, Lambda, Glue, Redshift)
• Data Modeling & Quality: design master data models, match/merge rules, survivorship, data quality checks
• Data Pipeline Engineering: build and optimize ETL/ELT pipelines to transform data for MDM
• Collaboration: work with data stewards, business analysts, and architects to translate requirements into MDM solutions

Skills

Python

SQL

Data wrangling

Problem solving

Communication

Education

Bachelor's or Mastera0s degree in CS/IT/Data Eng

Tools

Reltio MDM

AWS Services

Informatica MDM

JSON/XML data formats

Job description

Programmers.io in New York is seeking a Senior Data Management Engineer with deep MDM experience to design and implement Golden Records for key domains. You will lead end-to-end MDM initiatives, choosing platforms like Reltio and integrating them with AWS services for scalable data ingestion and governance.

Responsibilities include building automated ETL/ELT pipelines, defining match/merge rules, and ensuring data quality across enterprise data domains.