Data Quality & Governance Engineer (Collibra/Azure)

Stellent IT LLC

Charlotte (NC)

Hybrid

USD 110,000 - 150,000

Full time

11 days ago
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Job summary

Stellent IT LLC is seeking an experienced Data Quality Engineer to support governance, quality, and lineage initiatives across capital markets data domains. The role emphasizes Collibra-driven governance, Azure-based data platforms, and collaboration with data strategy and engineering teams to deliver trusted data.

The candidate should bring deep expertise in data quality, metadata management, and data profiling, with strong SQL and Python skills, and familiarity with CI/CD practices.

Qualifications

  • 10+ years of experience in data governance or data quality roles.

Responsibilities

  • Develop and maintain data quality rules using Collibra DQ.
  • Implement and manage data governance assets (business glossary, data catalog, stewardship workflows).
  • Support data lineage mapping across systems and pipelines.
  • Perform data profiling, validation, and issue analysis using SQL.
  • Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake).
  • Develop automation and utilities using Python or similar languages.
  • Collaborate with Data Owners and Engineers to define and enforce DQ controls.
  • Ensure code promotion using CI/CD, version control (Git), and deployment best practices.
  • Maintain documentation and governance artifacts in Confluence and repositories.

Skills

Data governance
Data quality
SQL
Python
Collibra
Azure Data Platform
Data lineage
Data profiling
CI/CD
Git

Tools

Collibra
Azure Data Platform
Git
CI/CD

Job description

Stellent IT LLC is seeking an experienced Data Quality Engineer to support governance, quality, and lineage initiatives across capital markets data domains. The role emphasizes Collibra-driven governance, Azure-based data platforms, and collaboration with data strategy and engineering teams to deliver trusted data.

The candidate should bring deep expertise in data quality, metadata management, and data profiling, with strong SQL and Python skills, and familiarity with CI/CD practices.

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