Master Data Management Engineer

Data EngineerData EngineerFull TimeRemoteTeam 10,001+Since 1833H1B SponsorCompany Site LinkedIn

Location

Ohio

Posted

67 days ago

Salary

$105K - $175K / year

Bachelor Degree7 yrs expEnglishERPETLInformaticaSQL

Job Description

• Collaborate with business and technology stakeholders to understand and capture data requirements, ensuring master data meets user and system needs. • Lead and support the design, development, and enrichment of master data domains to ensure consistency and accuracy. • Configure, implement, and maintain MDM solutions, including data matching, survivorship, and hierarchy management. • Perform hands-on data profiling, cleansing, and enrichment activities to ensure master data quality. • Develop and execute workflows within MDM tools to support business processes. • Oversee governance policies and standards for master data creation, maintenance, and quality. • Develop training materials and provide training to business users about MDM processes, tools, and standards. • Regularly assess the MDM processes, tools, and policies and recommend improvements. • Ensure that master data management processes are compliant with relevant regulations and that data is securely handled.

Job Requirements

Bachelor's degree in engineering, science, or computer science or other data related field
Minimum of 3 years of hands-on experience implementing and managing MDM solutions (e.g., Ataccama, Informatica, Reltio, SAP MDG)
Strong understanding of MDM concepts, data architectures, database management systems, and ETL processes.
Proficiency in designing and implementing data matching, survivorship rules, and hierarchy management within MDM platforms.
Experience integrating MDM solutions with enterprise systems (ERP, CRM, Data Lakes).
Ability to design, implement, enrich and maintain master data models that can scale and accommodate a variety of data types.
Experience with databases like Databricks, SQL Server, Snowflake, etc.
Ability to identify, rectify, and prevent data quality issues.
Knowledge of techniques to integrate data from various sources and ensure a single version of truth.
Ability to analyze complex data sets and derive insights.
Grasp of organizational business processes to understand how data flows and how it can be optimized.
Experience in leading cross-functional projects and managing timelines, resources, and stakeholders.
Excellent written and verbal communication skills, with the ability to translate complex technical topics for a non-technical audience.