MDM Developer -Reltio

• MDM Solution Implementation: Lead the end-to-end design, configuration, and implementation of MDM platforms (e.g., Reltio).
• AWS Cloud Integration: Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.
• Data Modeling & Quality: Design master data models, define match/merge rules, survivorship, and data quality checks.
• Data Pipeline Engineering: Build and optimize ETL/ELT pipelines to transform source data into MDM-ready structures.
• Collaboration: Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.
• Informatica MDM knowledge or experience is preferred and will be considered an added advantage

Must Have Technical/Functional Skills

We are seeking a highly skilled Senior Data Management Engineer with a strong background in Master Data Management (MDM) and hands-on experience implementing solutions within the Amazon Web Services (AWS) cloud ecosystem. In this role, you will design, develop, and implement MDM solutions to create a single source of truth (Golden Record) for Customer, Product, or Vendor domains. You will be a key contributor in integrating MDM platforms with AWS native services, building automated data pipelines, and ensuring data quality across the enterprise.

Must Have Skills:

• Experience: 10+ years of experience in Master Data Management (MDM)
• implementations, with at least 2-3 years hands-on experience in a cloud-native environment.
• MDM Tools: Strong experience with industry-leading MDM tools (e.g., Reltio).
• AWS Proficiency: Proven hands-on experience with AWS services including S3, Lambda,
• Glue, Redshift, IAM, and API Gateway.
• Programming/Scripting: Proficiency in Python and advanced SQL for data manipulation and automation.
• Data Governance: Solid understanding of data stewardship, data lineage, and data quality principles.
• Data Modeling: Experience in relational database modeling and JSON/XML data formats.
• Methodologies: Experience working within Agile/Scrum teams., Technical Skills:
• Reltio MDM: Hands-on experience with Reltio MDM
• AWS Services: Hands-on experience with AWS services / cloud
• Programming: Proficiency in Python; SQL for data manipulation and transformation.
• Data Wrangling: Experience with data preparation, feature engineering, and data transformation.
• Problem Solving: Strong analytical and problem-solving skills, with a focus on translating business questions into data science problems.
• Communication: Ability to communicate complex results clearly to both technical and non-technical stakeholders.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Data Analytics - Specialty, Solutions Architect) is plus.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Skills: AWS Lambda, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Automation, Business Analysis, Business Architecture, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Data Analysis, Data Formats, Data Management, Data Modeling, Data Quality, Data Science, Database Design, Database Extract Transform and Load (ETL), Ecosystems, Home Automation, Informatica, Information Technology & Information Systems, JSON, Manufacturing Data Management, Master Data Management (MDM), Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), Scripting (Scripting Languages), Scrum Project Management and Software Development, Stewardship, XML (EXtensible Markup Language)