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Skills

Data Engineering
Reference Data
Meta-data Management
Embedded Systems
Management
Data Governance
Workflow
Mapping
Data Profiling
SQL
Microsoft Azure
ADF
Databricks
Data Lake
Python
Programming Languages
Collaboration
Data Quality
Promotions
Continuous Integration
Continuous Delivery
Version Control
Git
Documentation
Confluence
Financial Services
Finance
Market Analysis

Summary

Location: Charlotte, NC (Hybrid)

Employment Type: Contract

Our client is undergoing a digital transformation to modernize its enterprise data platform. As part of this initiative, they are seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.

This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference Data, Market Data, and Operational Data.

Role Objectives

Support enterprise data governance and data quality initiatives across critical data domains.
Implement and enhance Collibra-based governance and data quality capabilities.
Ensure data quality, lineage, and metadata management are embedded into the data platform.
Collaborate with cross-functional teams to deliver scalable, governed data solutions.

Key Responsibilities

Develop and maintain data quality rules using Collibra DQ.
Implement and manage data governance assets, including business glossary, data catalog, and stewardship workflows.
Support data lineage mapping across systems and pipelines.
Perform data profiling, validation, and issue analysis using SQL.
Integrate Collibra with the Azure data platform (ADF, Databricks, Data Lake).
Develop automation and utilities using Python or similar programming languages.
Collaborate with Data Owners and Data Engineers to define and enforce data quality controls.
Ensure code promotion using CI/CD, version control (Git), and deployment best practices.
Maintain documentation and governance artifacts in tools such as Confluence and source code repositories.
Experience in the financial services industry, including financial instruments, asset classes, and market data, is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: sharpdec
Position Id: 53110
Posted 9 hours ago

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Data Governance / Data Quality Engineer

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