Job Description
MDM Developer - Reltio and Informatica
Fulltime
Seattle, WA (3 days onsite in a week)
| 10 - 15 years of experience
Job Description
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.
Roles & Responsibilities
Key Responsibilities:
• 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.
Qualifications:
• 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.
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.
Fulltime
Seattle, WA (3 days onsite in a week)
| 10 - 15 years of experience
Job Description
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.
Roles & Responsibilities
Key Responsibilities:
• 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.
Qualifications:
• 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.
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.
💡 Quick Summary
Seeking a career-building opportunity? The Master Data Manager position is now open for candidates interested in the Operations Executive Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Operations Executive Jobs is a plus.
