Senior Profisee MDM & Microsoft Fabric Data Architect - R01572927

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Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior Profisee MDM & Microsoft Fabric Data Architect

Job requirements •

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

Additional Information: Location: Coppell, TX. Work Model: Onsite. Domain: Quick Service Restaurant (QSR), Retail & Consumer Business. Technology Focus: Profisee MDM, Microsoft Fabric, Data Modeling, Data Integration & Data Modernization.

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