Profisee MDM Engineer

Description

We are looking for an experienced Profisee MDM Engineer to help strengthen and evolve a master data management environment in Bloomington, Minnesota. This Long-term Contract position will focus on improving platform performance, elevating data reliability, and creating more efficient stewardship practices that support broader business use. The role will work closely with technical and business partners to expand the value of master data across connected systems, analytics, and operational processes.

Responsibilities:
Evaluate the current Profisee MDM landscape and define a practical strategy to enhance scalability, usability, and long-term sustainability.
Refine platform design and configuration to eliminate unnecessary complexity and improve ongoing supportability.
Create and implement automated solutions that reduce manual stewardship tasks and increase process efficiency.
Strengthen data quality controls, governance practices, and monitoring to improve trust in critical master data assets.
Collaborate with cross-functional teams to connect master data with enterprise applications, reporting tools, and downstream data platforms.
Support platform upgrades, stabilization efforts, and remediation activities that improve reliability and reduce technical debt.
Analyze master data structures and profiling results to identify improvement opportunities and resolve data-related issues.
Contribute to integration and pipeline support for master data movement across APIs, analytics environments, and business systems.

Requirements

5+ years of experience working in application support, data platform support, or master data management roles.
Hands-on enterprise experience with Profisee, including administration, enhancement, and operational support.
Strong knowledge of master data management principles such as matching, survivorship, governance, data quality, and stewardship workflows.
Demonstrated success improving existing MDM platforms through modernization, stabilization, and process optimization.
Experience developing automation or workflow improvements that minimize manual effort and increase consistency.
Ability to build, troubleshoot, or support integrations with enterprise applications, APIs, reporting environments, and data pipelines.
Proficiency with data analysis and profiling, along with familiarity with technologies such as Snowflake, Databricks, Azure Data Factory, Python, dbt, or similar tools.
Strong communication skills with the ability to work effectively with both business stakeholders and technical teams.

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