Enterprise Data Architect

Milwaukee, United States | Posted on 02/26/2026

Responsible for designing and architecting data/MDM solutions, analyzing,implementing, and deploying these solutions both on-premises and in thecloud. By collaborating with diverse business teams and utilizingextensive knowledge of big data tools and products, creates scalable,flexible, and comprehensive data solutions that tackle complex business challenges.

• Managethe technical delivery of medium to large, moderately complex project son-time with targeted zero defects.
• Provideplanning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise-wide data solutions on bothcloud and on premises.
• Ensure solutions alignment to Enterprise Architecture policies and best practices; ensure that process methodologies are followed in development.
• Accountable to business and technology management for end-to-end application scoping,planning, development and delivery that meets and exceeds quality standards.
• Identify and manage dependencies and downstream impacts of the project to minimizeadverse effects on other projects and / or programs.
• Assist Project manager with the estimation of technical timelines and allocation of the technical resources to specific task.
• Communicate Expectations, Roles and Responsibilities to team members and hold them accountable to meet the expectations.
• Collaborate with IT partners to devise capacity plan and ensure appropriateinfrastructure for the end-to-end system delivery.
• Supervisecontingent workers and their daily tasks including onshore and offshorestaff.
• Identifyvaluable data sources and automate collection processes.
• Maintain data accuracy and timeliness, a critical highly visible aspect of the position as it impacts supply chain and sales effectiveness, financial performance of the business, and customer perception through on-time delivery, working capital, financial reporting accuracy and product quality.
• Architect and design master data to drive towards “Single source of the truth”.
• Regularly monitor and measure performance of MDM standards.
• Performsproblem and trend analyses to identify and correct problems and increasedata quality.
• Review/ Approve execution of data changes.
• Trackand report through the CAB review board.
• Develop
  
  SLA’s and ensure they are met.
• Drivedata mapping workshops for migrations.
• Coordinate and participate in the ETL (extract, transform, load) process for anymigrations.
• Planand architect M&A initiatives and integrations