Explore rewarding Collibra Data Quality Lead jobs, a pivotal role at the intersection of data governance and technical execution. Professionals in this career path are responsible for designing, implementing, and managing enterprise-wide data quality frameworks using the Collibra platform. They act as the crucial bridge between business stakeholders, who need trustworthy data for decision-making, and technical teams, who build and maintain data systems. The core mission is to establish robust processes that monitor, measure, and improve the health of an organization's critical data assets, ensuring they are accurate, consistent, and reliable for operational and analytical use. Typical responsibilities for a Collibra Data Quality Lead encompass a blend of strategic oversight and hands-on configuration. Commonly, they are tasked with defining data quality rules, metrics, and policies aligned with business objectives. A significant part of the role involves the technical setup and administration within Collibra, specifically utilizing components like Collibra Data Quality (DQ) to create and deploy automated data quality checks, and Collibra Data Integration (DIP) for building workflows and data lineage. They lead data profiling initiatives to uncover issues, design remediation processes, and generate dashboards and reports to communicate data quality health to leadership. Furthermore, they often mentor or manage a team of data quality analysts or engineers, fostering a culture of data ownership and accountability across the organization. To succeed in Collibra Data Quality Lead jobs, a specific combination of technical proficiency and soft skills is essential. On the technical side, deep, hands-on expertise with the Collibra Data Intelligence Cloud, particularly its Data Quality and workflow modules, is fundamental. This is complemented by strong SQL skills for data analysis and validation, along with experience in scripting languages like Python or Unix shell for automation. Knowledge of ETL tools and processes is highly valuable for integrating data quality checks into data pipelines. A solid understanding of database technologies (e.g., cloud data warehouses, RDBMS) is also standard. Beyond technical acumen, these professionals must possess strong analytical and problem-solving abilities to diagnose complex data issues. Excellent communication and stakeholder management skills are paramount, as is a foundational knowledge of data governance principles and best practices. Typically, a background in computer science, information systems, or a related field, combined with practical experience in data management, prepares individuals for these leadership roles. If you are passionate about ensuring data integrity and possess this mix of technical and strategic skills, exploring Collibra Data Quality Lead jobs could be the next step in your data career.
