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1 Day ago

Data Engineer - Microsoft Purview

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Information Technology
Full-Time
Delphie Consulting services

Overview

About The Role

We are seeking a highly skilled Data Governance Developer with deep expertise in Microsoft Purview and metadata management to support our enterprise-wide data governance initiatives. The ideal candidate will have a strong background in implementing scalable data governance solutions, preferably within the investment banking or financial services domain, and will play a key role in shaping and enforcing data policies, standards, and lineage across cloud environments.

Key Responsibilities

  • Lead and support the end-to-end implementation of Microsoft Purview, including classification configuration, scanning, and API integrations.
  • Design and manage enterprise business glossaries, data classifications, metadata lineage, and technical/business metadata association.
  • Configure and automate metadata ingestion pipelines from diverse sources across Azure, AWS, and GCP environments.
  • Work closely with data stewards, architects, and platform teams to define and maintain data governance standards and processes.
  • Ensure adherence to cloud security, compliance, and regulatory standards within metadata and data governance frameworks.
  • Monitor and maintain metadata quality, lineage visibility, and data catalog health through regular audits and improvements.
  • Provide hands-on technical guidance on Purview APIs and integration with AI/ML data pipelines.
  • Contribute to data governance frameworks in Agile project delivery and DevOps cultures.

Required Qualifications

  • 5+ years of experience in data governance, metadata management, or data cataloging in enterprise environments.
  • 12 years of hands-on experience with Microsoft Purview, including at least one end-to-end implementation.
  • Proficiency in Purview API usage, resource scanning, classification, and metadata mapping.
  • Strong understanding of data lineage, data dictionaries, and glossary management.
  • Experience working in investment banking, capital markets, or regulated financial environments is highly desirable.
  • Exposure to cloud platforms (Azure, AWS, GCP), particularly data services and governance controls.
  • Familiarity with AI/ML-enabled metadata automation and intelligent classification is a plus.
  • Excellent interpersonal and communication skills with the ability to engage both technical and business stakeholders.
  • Microsoft certifications in Azure Data Engineer, Security Engineer, or Purview are a strong advantage.

(ref:hirist.tech)
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