Prophecy (MDM) & Power BI Data Engineer


Cloud Data Vision LLC
Dice Job Match Score™
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Job Details
Skills
- Prophecy (MDM)
- Power BI
- DAX
- Data Architecture
- Data Modeling
- Master Data Management
- SQL
- Mobile Device Management
- Microsoft
- ELT
- Data Quality
- Data Processing
Summary
Title: Prophecy (MDM) & Power BI Data Engineer / Consultant
Location: Remote
Duration: Long Term on Contract
Experience: 10+ Years
Role Overview
We are seeking a skilled Data Engineer/Consultant to design and build end-to-end Power BI reporting solutions on top of the 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, Ataccama).
- 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 (Ataccama) 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.
- Dice Id: 91172896
- Position Id: 9025891
- Posted 17 hours ago
Company Info
Information technology services and consultancy company Cloud Data Vision is growing quickly. The business sets itself apart from rival companies in its sector by providing cutting-edge technologically advanced services. We have vast experience offering IT services to the healthcare sector in addition to our knowledge of the fields of information technology and software systems. The information technology consulting company Cloud Data Vision also provides software development and software design services. The business is privately owned. In addition to the installation and upkeep of hardware, we can offer our professional services in the following fields.
In the areas of immigration, education, healthcare, and financial services, covering a wide range of industries, including banking and insurance, services of administration (local and central), utility, and power provision are provided.
Epis data provides a wide range of information technology (IT) solutions and staff. These services include ones for big data solutions and artificial intelligence. In addition to supporting the creation and use of business intelligence, we also assist in web development, the creation of bespoke software, the creation of desktop and online apps, and the creation of desktop and web applications.
High-performing artificial intelligence and data science teams are augmented by brilliant engineers who can convert concepts into solutions while working remotely.


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