MDM Systems Engineer

Not available for C2C engagement

Vendors marketing candidates will be blocked

This is a Direct Hire opportunity based in the Memphis Metro (Collierville)

Must be local to the Memphis Metro OR open to relocate

MDM Systems Engineer

Must have:

• At least 2 years of hands-on experience in data engineering, integration engineering, or systems analysis within an enterprise MDM, PIM, or cloud data warehouse environment.
• SQL and Data Querying
• MDM and Cloud Data
• Integration protocols
• Agile and ITSM tools

About the Opportunity

The Intersect Group is partnering with an innovative organization that leverages data, technology, and digital transformation to drive business growth and operational excellence. With a strong focus on data governance, system integration, and customer experience, this organization is committed to building scalable technology solutions that enable informed decision making across the enterprise. Their collaborative environment values continuous improvement, technical innovation, and delivering high quality data assets to business stakeholders.

Role Summary

We are seeking an experienced MDM Systems Engineer to support and enhance a complex Master Data Management ecosystem that serves as a critical foundation for enterprise data operations. This role will play a key part in designing scalable integrations, managing data pipelines, and ensuring high quality master data is delivered reliably across multiple business platforms.

The MDM Systems Engineer will partner with technical and business teams to architect data flows, optimize system performance, and improve data governance practices. This individual will drive automation initiatives, resolve integration challenges, and contribute to the ongoing modernization of enterprise data platforms while ensuring data accuracy, consistency, and accessibility.

Key Responsibilities

• Design, build, and maintain scalable batch and real time data integration pipelines across MDM, PIM, Snowflake, and downstream systems

• Develop and optimize ETL and ELT workflows, APIs, and automated orchestration processes to support enterprise data operations

• Map source to target data flows, transformation logic, and business rules to ensure accurate and governed master data delivery

• Maintain data integrity, taxonomy structures, attribute schemas, and validation processes within MDM and PIM platforms

• Create and execute advanced SQL queries for data validation, quality auditing, regression testing, and anomaly detection

• Manage outbound data syndication and integrations with platforms such as Salesforce, eCommerce solutions, and reporting environments

• Translate business requirements into technical specifications, system designs, and actionable development tasks

• Investigate and resolve data pipeline issues, integration failures, and system incidents while maintaining service level expectations

Key Requirements

• 2 to 5 years of experience in data engineering, integration engineering, systems analysis, or a related enterprise data environment

• Strong proficiency in SQL, including complex joins, aggregations, window functions, data profiling, and schema analysis

• Hands on experience with Master Data Management or Product Information Management platforms such as EnterWorks, Precisely, Informatica, or similar solutions

• Experience working with Snowflake and cloud based data architectures

• Solid understanding of REST APIs, JSON, XML, ETL and ELT methodologies, and enterprise integration patterns

• Experience utilizing Jira, Confluence, and IT service management tools such as Ivanti or comparable platforms

• Knowledge of data governance, data quality frameworks, taxonomy management, and master data lifecycle processes

• Strong analytical, communication, and problem solving skills with the ability to collaborate effectively across both technical and nontechnical teams

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical discipline

• Equivalent combination of professional experience and technical expertise will also be considered

Why Consider This Opportunity

• Opportunity to work on enterprise scale data initiatives and modernization efforts

• Exposure to leading cloud data technologies and integration platforms

• Highly collaborative environment with visibility across multiple business functions

• Direct impact on data strategy, operational efficiency, and business decision making