Lead Data Engineer

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

The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based environment. This role provides technical leadership to  Senior Data Engineers  and  Senior Analytics Engineers , ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a key role in strategic initiatives, driving the design and delivery of scalable data platforms, and enabling actionable insights through advanced Power BI dashboards and reports.

Tasks and Responsibilities

• Serve as the  technical lead  on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals
• Provide  technical mentorship and guidance  to Senior Data Engineers and Senior Analytics Engineers
• Design and implement scalable ETL / ELT pipelines using  Azure Data Factory (ADF) ,  Databricks , and  DBT
• Lead the development of  Data Vault 2.0  models and ensure consistency across projects
• Architect and orchestrate data workflows using  Databricks LakeFlow ,  Apache Airflow , and ADF
• Oversee data ingestion and replication strategies using tools such as Fivetran, SQDR, Rivery, or custom Python scripts
• Develop and optimize  Power BI  dashboards, reports, and semantic models to support business intelligence and self-service analytics
• Collaborate with business stakeholders, architects, and analysts to translate requirements into technical solutions
• Ensure data quality, governance, and security standards are met across all data products
• Lead code reviews, enforce development standards, and promote best practices in data engineering and analytics
• Support CI / CD automation, DevOps practices, and version control for data pipelines and reporting assets
• Troubleshoot and resolve complex data issues in production and development environments
• Contribute to enterprise data strategy and participate in architectural review boards
• Maintain documentation for data architecture, pipelines, and reporting solutions
• Infrequent travel as needed

Minimum Education

Minimum Experience

Knowledge, Skills, Abilities