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IT Data Solution Engineer

IT Data Solution Engineer

Job Description

The Data Solution Engineer is responsible for designing, delivering and supporting enterprise digital master data management (MDM) solutions, to support Kimberly-Clark’s global and enterprise digital master data requirements covering analytical as well as operational MDM.

We are seeking engineers that build real-world applications on top of our platforms to help us solve our customers’ domain-specific problems

Data Solution Engineers should be effective at linking the architectural vision with the business vision and building solutions that focus on business value and technical excellence; helping K-C to adopt and implement digital solutions.

They are passionate learners who keep up with evolving technologies and techniques and are willing to experiment with them to test what would work for the business.

Specifially on digital technologies (API, AI/ML, Cognitive RPA and Unified Cloud) The Data Solution Engineer has responsibility for the maintenance of the enterprise digital master data management platforms.

The Data Solution Engineer is responsible for collaborating with the Data Feature Engineer, Solution Architect, Kimberly-Clark’s internal business and technology partners (both globally and regionally), and other stakeholders to ensure correct designs and implementations are in place to deliver timely and accurate master data to enterprise decision-making as well as operational processes.


Build ditigal Business Technology platforms; designs solutions for an increasingly connected world Develops data solutions to a wide range of difficult problems.

Solutions are innovative, seek opportunities for automation of tasks, and are consistent with organization objectives Work with the agile development team to help scope and design products for resiliency, redundancy, supportability, and scalability Design API-led connected solutions that empowers how we connect our systems to deliver new digital products and offers Ensure conformance to system architecture, standards and best practices Explore Machine Learning, Artificial Intelligence and Cognitive RPA opportunities to automate Data Quality, master data integration tasks.

Design, implement and support the detailed master data components of all analytical (enterprise data warehouse/enterprise BI) as well as enterprise operational projects for master data domains, enterprise hierarchies, master data integration and data quality, etc.  Collaborate with project teams and architects on all aspects of MDM architecture (MDM data model, SAP MDM, MDM tools, MDM data integration, master data quality, MDM operations, master data security, etc.) Deliver per established methodologies for enterprise projects with an MDM component, such as technical requirements, design patterns, code reviews and testing procedures Present to change control boards for validated systems to implement development into production Regularly interact with lead...