Master Data Platforms Data Engineer

Job Summary This position is responsible for the administration of our Master Data tools and workflows, including the automation of master data processes, and for writing queries and alerts that bring transparency into data quality. Ways of the Carhartt Leader We are all leaders at Carhartt. Some of us are asked to lead from day one, others one day. We are all given a seat at the table. Lead Self: Be Dependable: trusted and reliable to do the right thing, treating others with dignity and respect. Be resilient: learning from failure and acting boldly to set and adjust priorities. Be authentic: aware of strengths and weaknesses and always working to improve, valuing the contributions everyone brings. Lead Others: Empower Others: while goals are clear, we are flexible about the path to get there and create a map for the future. Grow Together: maximize individual strengths to achieve our objectives, establishing open and effective lines of communication within and across departments. Lead Business: Create Value: set realistic measures of success and deliver on expected results, but not at the cost of the brand. Champion Change: thoughtful and well communicated change allows us to solve problems in new ways that continue to serve and protect our hardworking consumers and associates. Representative Responsibilities Manage functionality of workflows in Winshuttle and do advanced troubleshooting when needed Manage PIM including users/permissions, imports/exports, and integrations Write queries, primarily in Microsoft SQL Enterprise Data Warehouse, to measure quality and completion of Master Data elements and to populate alerting jobs when data rules are not met, or elements are missing Own the required functionality of S4 MDA tool as it pertains to the overall Master Data workflow process Work with teams across Technology to ensure that integrations are performing as expected and step in to troubleshoot when they fail. Build views into Data Quality queries using Microsoft Power BI and partner with BI Engineering team to buildout Data Quality Power BI Dataset. Designed, tested, and deployed workflow automation solutions to streamline SAP master data processes. Work with IT to develop automated data pipelines, API integrations, and ETL processes for seamless data management. Own the maintenance and performance of our Master Data tools, including managing log files, maintenance/upgrades, outage communication and diagnosing system failures. Analyze problems and look for trends, always keeping management informed of problem areas. Required Education • Bachelor’s degree required in Computer Science, MIS, IT or another technical computing field. Entry Requirements 3 years of professional experience in a related field Experience with database design both conceptual and physical Performance troubleshooting and resolution experience (index tuning, profiling, job scheduling), related software tools for monitoring and management Experience determining methods and procedures to be implemented and used on the most complex new technologies to enhance performance Experience with Master Data Management and Product Information Management systems required. Ideal candidate has strong experience in the technology stack utilized by Carhartt, including: Evolve Winshuttle S4 MDA Tool (ABAP experience a plus) Centric/PLM Experience implementing automated workflows using tools (Evolve, Power Automate, or similar). 2 years or more Progressive IT experience including but not limited to the following technologies: Experience with MS SQL Server database platform Microsoft SQL Server Integration Services (SSIS) Microsoft SQL Server Analysis Services (SSAS) preferred Programming language experience with one or more of the following: C#, C++, Python, R preferred Working with and developing Restful Web Services preferred Developing Web Applications in a Microsoft .Net C# environment preferred Microsoft SQL Server Reporting Services and/or Microsoft Power BI preferred Microsoft DAX query language preferred Developing and supporting cloud-based (PaaS) database platforms, preferably Microsoft Azure preferred Big Data platforms and Data Lake environments such as Hadoop preferred Knowledge and experience of Data Science and Machine learning techniques preferred Security experience as it applies to compliance, protection of assets, and company security preferred Excellent verbal and written communication skills, including the ability to deliver presentations and convey technical and design strategies to different audiences Experience with Azure DevOps a plus Strong people and communication skills with the ability to deal with stressful situations involving equipment and application failures in a composed and constructive manner Ability to take direction from more than one person and handle a variety of tasks at one time Working Conditions Dependable, accessible after hours in the event of a system failure, work as needed to maintain equipment in off-hours Available outside of normal business hours in the event of a system failure and work as needed to maintain equipment in off-hours. Willing to work some weekends. Normal office environment; office setting.Extended periods of time sitting, standing, typing on a computer is required. National and International travel required (up to 10%).

Location: Queretaro Metropolitan Area, MX

Posted Date: 7/26/2025