Senior Profisee MDM & Microsoft Fabric Data Architect

Coppell, TX, US • Posted 6 hours ago • Updated 4 minutes ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • FOCUS
  • Data Management
  • Business Rules
  • Collaboration
  • Leadership
  • Management
  • Data Modeling
  • SQL
  • Optimization
  • Migration
  • Data Integration
  • Analytical Skill
  • Data Stewardship
  • Workflow
  • Analytics
  • Microsoft Power BI
  • Data Visualization
  • Retail
  • Business Data
  • Extract
  • Transform
  • Load
  • Orchestration
  • Cloud Computing
  • Data Security
  • Regulatory Compliance
  • Advanced Analytics
  • Artificial Intelligence
  • Data Quality
  • Computer Science
  • Information Technology
  • Data Engineering
  • Microsoft Azure
  • Microsoft
  • Master Data Management
  • Mobile Device Management

Summary

Senior Profisee MDM & Microsoft Fabric Data Architect

Location: Coppell, TX.

Work Model: Onsite.

C2C or W2

Domain: Quick Service Restaurant (QSR), Retail & Consumer Business. Technology Focus: Profisee MDM, Microsoft Fabric, Data Modeling, Data Integration & Data Modernization.

Experience Range: With at least 8 years of hands-on experience in Microsoft data management technologies, including Profisee MDM and Microsoft Fabric, and demonstrated leadership in data modernization within QSR, Retail, or Consumer Business domains.

Key Responsibilities:
1. Architect and deliver scalable data management and Master Data Management (MDM) solutions using Profisee MDM and Microsoft Fabric for Quick Service Restaurant and Retail business environments.
2. Lead data modernization projects, migrating legacy SQL-based platforms and ETL workloads to Microsoft Fabric, ensuring seamless transition and optimized performance.
3. Develop enterprise data models, entity structures, hierarchies, relationships, and business rules tailored to business-critical operations.
4. Configure Profisee MDM match-and-merge logic, duplicate detection, survivorship rules, validation logic, and implement data quality controls.
5. Establish master data governance frameworks, stewardship workflows, approval processes, exception handling, and maintenance procedures.
6. Define and implement data integration patterns between Profisee, enterprise applications, source systems, and downstream analytical platforms.
7. Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into actionable solution designs and delivery plans.
8. Communicate solution recommendations, risks, dependencies, and progress to leadership, ensuring stakeholder alignment and expectation management.

Required Skills:
1. Advanced proficiency in Profisee Master Data Management (MDM)
2. Expertise in Microsoft Fabric data engineering and analytics components
3. Enterprise-level data modeling and architecture
4. SQL development, optimization, and migration strategies
5. Data integration across operational, master data, and analytical platforms
6. Implementation of match-and-merge logic and data quality rules in Profisee MDM
7. Design of data stewardship workflows and exception handling
8. Data pipeline development using Fabric Data Factory

Preferred Skills:
1. Experience with Azure Synapse Analytics and lakehouse architectures
2. Expertise in Power BI for advanced data visualization
3. Familiarity with retail and consumer business data domains
4. Knowledge of ETL automation and orchestration tools
5. Experience with cloud-based data security and compliance
6. Exposure to advanced analytics and AI-driven data quality solutions

Desired Qualifications:
1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
2. Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Data Analyst Associate
3. Profisee MDM certification or documented proficiency in enterprise MDM implementations

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91112461
  • Position Id: OOJ - 3530-2531-1793195175
  • Posted 6 hours ago
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