Master Data Quality Engineer

Duties and Responsibilities Responsible for the accuracy, consistency, and integrity of master data across an organization.
Develop the vision for an ever-evolving Data Quality improvement strategy that not only satisfies current needs but can be easily adapted to future needs as new sources of data input and requirements for data output are identified 'Identify Data Quality issues across various data sources as they occur, along with any risks, mitigation plan and proactive vulnerabilities within the database Expert in Enterprise Data quality capabilities with proven experience implementing and enhancing data quality Lead the strategy, development and implementation of data quality standards, processes, and controls and maintain appropriate business rules documentation. Analyze and translate clients needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy Develop the vision for an ever-evolving Data Quality improvement strategy that not only satisfies current needs but can be easily adapted to future needs as new sources of data input and requirements for data output are identified 'Build and optimize the processes and tools needed to efficiently manage data, from collection to analysis, and ensure data is accessible to end-users. Focus on automating tasks, creating data pipelines, and collaborating with other data team members to enhance data quality and accessibility. 'Collaborate with the data team to design, develop, and deploy data and AI solutions. Monitor and optimize system performance, ensuring high availability and reliability. Support data pipelines and ETL processes, ensuring seamless data flow. Collaborate with data scientists and engineers to integrate machine learning models into production. Skills Proven experience (5+ years) developing DQ operating model, DQ policies & guidelines as well as DQ standards & best practices Ability to make complex decision and support the enterprise strategy Previousl directed the development of key standards, guidance, and policies as a leader of at least one data quality team, along with an extended collection of business data stewards Strong proficiency in SQL, data profiling tools, and data quality tools such as Informatica. Experience with data integration and ETL processes. Strategic and collaborative partner able to influence and drive accountability across organizational and domain boundaries Ability to advocate for needed change across the organization that add to our success. Knowledge of data storage solutions (SQL, NoSQL databases). Excellent problem-solving abilities and attention to detail. Strong communication and collaboration skills.