Enterprise Data Architect

TalentOla; Wisconsin; Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions firm in Wisconsin is seeking a Senior Data Expert to design and manage Master Data Management (MDM) systems. The role requires building solutions for accurate, organized company data storage and accessibility both on-premise and in the cloud. Responsibilities include project management, data architecture, and collaboration with IT and business teams. The ideal candidate will have expertise in MDM and big data tools, along with strong project management skills. This is a hybrid role requiring in-office presence three days a week.

Qualifications

• Experience in designing and managing MDM systems.
• Strong understanding of cloud-based solutions.
• Ability to collaborate with diverse teams to ensure accurate data.

Responsibilities

• Design and architect data/MDM solutions.
• Manage technical delivery of data projects.
• Ensure compliance with Enterprise Architecture policies.

Skills

Master Data Management (MDM)

Big data tools

Cloud solutions

Data architecture

Project management

Education

Relevant degree in Computer Science or related field

Tools

ETL processes

Database management systems

Job description

Location: Waukesha/Milwaukee, Wisconsin (hybrid position) 3 days in a week

Duration: Long term

Summary

This role is for a senior data expert who designs and manages Master Data Management (MDM) systems. The person will build and manage systems that store and organize company data in one central place (Single Source of Truth).They will work with business teams, IT teams, and data engineers to make sure company data is accurate, organized, and accessible both on-premise and in the cloud.

Primary Purpose

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

Major Responsibilities

• Manage the technical delivery of medium to large, moderately complex projects on-time with targeted zero defects.
• Provide planning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise-wide data solutions on both cloud 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 minimize adverse 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 appropriate infrastructure for the end-to-end system delivery.
• Supervise contingent workers and their daily tasks including onshore and offshore staff.
• Identify valuable 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.
• Performs problem and trend analyses to identify and correct problems and increase data quality.
• Review / Approve execution of data changes.
• Track and report through the CAB review board.
• Develop SLA’s and ensure they are met.
• Drive data mapping workshops for migrations.
• Coordinate and participate in the ETL (extract, transform, load) process for any migrations.
• Plan and architect M&A initiatives and integrations.