Lead Data Quality Analyst

About FlightSafety International FlightSafety International is the world's premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world's largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom. Purpose of Position TheLead Data Quality Analystis a strategic role responsible for driving enterprise-wide data quality initiatives, ensuring the accuracy, consistency, and reliability of data assets. This role leads the development and implementation of data quality frameworks, collaborates with cross-functional teams, and plays a key role in data governance and master data management (MDM) efforts. The Lead Analyst will work closely with data engineers, stewards, governance teams, and business stakeholders to establish standards, monitor data quality, and ensure alignment with organizational data strategy. Tasks and Responsibilities - Lead the design and implementation of enterprise data quality frameworks, rules, and validation processes - Collaborate with engineering teams to validate complex ETL/ELT pipelines, Delta Lake tables, and data transformations - Define and monitor data quality KPIs across structured and unstructured data sources - Develop and maintain automated data quality monitoring systems, including alerts, thresholds, and dashboards - Conduct advanced data profiling and root cause analysis to identify and resolve data quality issues - Establish and enforce data quality standards, issue resolution workflows, and documentation practices - Partner with Data Governance teams to align data quality efforts with governance policies and data stewardship models - Support Master Data Management (MDM) initiatives by ensuring consistency and accuracy of critical data domains - Collaborate with business units to define data ownership, stewardship roles, and data quality accountability - Lead cross-functional data quality improvement initiatives and mentor junior analysts - Ensure data integrity across the lakehouse architecture (Bronze, Silver, Gold layers) - Contribute to the development of enterprise metadata management and data cataloging practices Minimum Education - Bachelor's degree from an accredited institution or equivalent industry experience Minimum Experience - 8+ years of experience in data quality, data governance, or data management roles - 5+ years of hands-on experience with SQL and data validation techniques - Proven experience leading data quality or governance initiatives in large-scale environments - Experience with data warehousing, lakehouse platforms, and ETL/ELT processes - Familiarity with MDM platforms and practices - Proficient in BI tools such as Power BI for reporting and validation - Experience working in Agile environments (e.g., Scrum, SAFe) Knowledge, Skills, Abilities Expert-level SQL skills and experience with Databricks notebooks for data quality checks Strong understanding of data governance frameworks (e.g., DAMA-DMBOK) and best practices Experience with data quality and profiling tools (e.g., Informatica DQ, Great Expectations, Talend) Familiarity with MDM tools and concepts (e.g., Informatica MDM, SAP MDG, Reltio) Knowledge of enterprise platforms such as SAP ECC/S4HANA, Salesforce, or SuccessFactors Experience with metadata management and data cataloging tools (e.g., Informatica EDC, Ala