Lead Data Quality Engineer

FlightSafety International seeks a Lead Data Quality Analyst to drive enterprise-wide data quality initiatives and ensure the accuracy, consistency, and reliability of its data assets. The role develops data quality frameworks, collaborates across engineering, governance, and business teams, and supports data governance and master data management efforts.

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

Requirements:

• Bachelor's degree from an accredited institution or equivalent industry 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)
• 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, Alation, Collibra)
• Strong analytical, problem-solving, and leadership skills
• Excellent communication and stakeholder engagement abilities
• High attention to detail and a commitment to data accuracy and governance
• Ability to lead cross-functional teams and drive enterprise data quality strategy