Data Governance Analyst; Azure​/Purview​/MDM

criptors Hybrid

Data Governance & Metadata Management (Microsoft Purview, Collibra), Data Quality Engineering (SQL, Python), Cloud Data Platform Governance (Azure Data Factory, ADLS, Databricks, Synapse)

• 5+ years’ experience in Data Governance / Data Management / Data Quality / Data Analytics or related roles.
• Strong knowledge of governance concepts: data stewardship, metadata, lineage, quality, MDM, classification, access controls.
• Hands‑on experience with one or more governance tools:
  Microsoft Purview, Collibra, Alation, Informatica.
• Working knowledge of cloud data ecosystems (Azure preferred) including Azure Data Factory, ADLS, Databricks, Synapse (or equivalent).
• Strong skills in SQL and exposure to Python/R for data profiling and analysis.
• Excellent stakeholder management skills with the ability to drive alignment across business and technical teams.
• Ability to translate business needs into actionable governance requirements, workflows, and controls.
• Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.

• Experience implementing governance operating models (roles, councils, approval flows, issue management).
• Experience with data quality tooling, rule automation, and quality measurement framework.
• Prior consulting / client-facing experience with multiple stakeholder groups.
• Strong documentation skills: governance playbooks, SOPs, RACI, glossary standards, lineage artifacts.

• Define, implement, and maintain data governance policies, standards, frameworks, and operating workflows across domains.
• Lead metadata management, data cataloging, and data lineage initiatives using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
• Partner with business, data engineering, analytics, and platform teams to manage and prioritize governance use cases and deliver outcomes.
• Drive data quality programs including profiling, rule definition, monitoring dashboards, issue management, and remediation coordination.
• Establish and enforce data ownership and stewardship models, including business glossary development and stewardship engagement.
• Support or facilitate Data Governance Councils / Working Groups, including agenda planning, decision tracking, and governance adoption.
• Support privacy and compliance initiatives (e.g., GDPR, CCPA/CPRA) including classification, access control practices, and traceability processes.
• Assist in the design and implementation of Master Data Management (MDM) practices ensuring data consistency and integrity across systems.
• Develop governance KPIs and reporting to measure governance effectiveness and maturity.
• Create and deliver enablement sessions to improve data literacy and governance adoption across technical and business teams.
• Work in Agile delivery teams using Jira / Azure Dev Ops to manage initiatives and deliver governance improvements iteratively.

• Collaborative and proactive approach to identifying and resolving data-related issues.
• Comfortable engaging with leadership, product stakeholders, and technical teams.
• Strong communication and presentation skills.
• Delivery mindset: governance that is operational and measurable, not just policy-based.