New York Technology Partners

Data Governance Expert – Microsoft Purview

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Expert specializing in Microsoft Purview, requiring 5+ years in Data Engineering, 3+ years with Microsoft Purview, proficiency in Python, and strong Azure/AWS knowledge. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Synapse #Azure #AWS (Amazon Web Services) #BI (Business Intelligence) #Compliance #Documentation #Metadata #REST API #Scrum #ADF (Azure Data Factory) #Data Quality #AI (Artificial Intelligence) #Monitoring #REST (Representational State Transfer) #Automation #Python #Classification #Cloud #Redshift #Data Engineering #Microsoft Power BI #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #AWS S3 (Amazon Simple Storage Service) #Agile #Data Governance #Azure Data Factory
Role description
Data Governance Expert Microsoft Purview Specialist Senior Data Governance Engineer Microsoft Purview with deep handson experience implementing and operating Microsoft Purview in enterprise data environments Required Skills & Qualifications • Experience: 5+ years in Data Engineering, Analytics Engineering, or Technical Data Governance. • Platform Expertise: 3+ years of production experience implementing Microsoft Purview (Collections, Scanners, Classifications, Lineage). • Technical Stack: Proficiency in Python and experience working with REST APIs/SDKs. • Cloud Ecosystem: Strong knowledge of Azure (Data Factory, Synapse, SQL) and AWS (S3, Redshift, Glue). • Data Quality: Proven experience setting up automated DQ profiling and monitoring. • Reporting: Ability to build advanced reports in Microsoft Fabric or Power BI using Purview metadata. • Documentation: Ability to translate complex technical implementations into clear documentation for both engineers and stakeholders. Preferred Qualifications • Experience in the Financial Services industry (familiarity with regulatory compliance). • Experience working in Agile/Scrum environments. • Knowledge of AI-driven metadata tagging and automation insights.