Prophecy (MDM) & Power BI Data Engineer Consultant
Job Location:
Chicago, IL - USA
Monthly Salary:
Not provided by the employer
Posted:
15 July 2026 (30+ days ago)
Application Deadline:
12 October 2026
Vacancies:
1 Vacancy
Job Summary
Prophecy (MDM) & Power BI Data Engineer / Consultant
Role Overview
We are seeking a skilled Data Engineer/Consultant to design and build end-to-end Power BI reporting solutions on top of Prophecy (MDM/RDM platform). The role focuses on enabling hierarchical data visualization operational dashboards and scalable data architecture to support enterprise-wide analytics and AI readiness initiatives.
Key Responsibilities:
- Design and develop Power BI dashboards and reports leveraging data from Prophecy MDM ensuring clear hierarchical visualization (e.g. domain classification and entity relationships).
- Build operational and executive dashboards to monitor data quality governance and business KPIs.
- Architect and implement scalable semantic models and data pipelines integrating Prophecy with downstream reporting layers.
- Collaborate with data architects and business stakeholders to deliver golden copy reporting datasets aligned with enterprise MDM strategy.
- Support the expansion of classification data models and Matter 360 initiatives by translating complex data structures into actionable insights.
- Ensure alignment with data governance lineage and cataloging standards (Alation Atacama).
- Optimize performance of reports and datasets for large-scale unstructured and evolving data environments.
- Contribute to transitioning from project-based delivery to a program-based scalable reporting framework.
Required Skills & Experience:
- Strong experience with Power BI (data modeling DAX dashboards and performance tuning).
- Hands-on experience with Prophecy (MDM/RDM) or similar MDM platforms.
- Solid understanding of data architecture data modeling (hierarchical/relational) and data warehousing concepts.
- Experience integrating with data quality (Atacama) and data cataloging tools (Alation) is a plus.
- Proficiency in SQL ETL/ELT pipelines and large-scale data processing.
- Exposure to Microsoft Fabric / Azure data ecosystem preferred.
- Strong understanding of data governance lineage and master data management principles.
- Ability to work in a complex multi-stakeholder environment with distributed teams.
Nice to Have:
- Experience in AI/ML data readiness and analytics platforms.
- Prior experience in enterprise data transformation or MDM programs.
- Familiarity with consulting-led data transformation engagements.