Lead Data Engineer

FlightSafety International Inc
United States, Ohio, Columbus
Oct 10, 2025
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 toSenior Data EngineersandSenior 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 advancedPower BIdashboards and reports. Tasks and Responsibilities Serve as thetechnical leadon data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals Providetechnical mentorship and guidanceto Senior Data Engineers and Senior Analytics Engineers Design and implement scalable ETL/ELT pipelines usingAzure Data Factory (ADF),Databricks, andDBT Lead the development ofData Vault 2.0models and ensure consistency across projects Architect and orchestrate data workflows usingDatabricks LakeFlow,Apache Airflow, and ADF Oversee data ingestion and replication strategies using tools such as Fivetran, SQDR, Rivery, or custom Python scripts Develop and optimizePower BIdashboards, 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 Bachelor's degree from an accredited institution or equivalent industry experience Minimum Experience 12+ years of experience in data engineering or software development roles 3+ years in a technical leadership or lead engineer capacity 5+ years of experience withAzure Data FactoryandAzure Data Lake Storage 3+ years of experience withDatabricks,Delta Live Tables, andUnity Catalog 3+ years of experience withPower BIdashboard and report development 2+ years of experience withDBTandApache Airflow Experience withData Vault 2.0modeling (certification preferred) Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities Deep expertise incloud data platforms, especiallyAzureandDatabricks Strong understanding ofELT/ETL, data modeling, and data warehousing principles Proven ability to lead and mentor technical teams in a collaborative environment Advanced skills inPower BI, including DAX, Power Query, and data modeling Experience with data ingestion and replication tools (e.g., Fivetran, SQDR, Rivery) Proficiency in Python, PySpark, and SQL for data transformation and automation Experience orchestrating workflows usingApache AirflowandDatabricks LakeFlow Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) Strong communication and stakeholder engagement skills Knowledge of data governance, metadata management, and compliance frameworks Experience with Agile/Scrum methodologies Exposure to AI/ML tools and concepts withinDatabricksis a plus Experience in Education or Aviation industries is a plus Physical Demands and Work Environment The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate. The employee may be required to stand, walk, and sit.Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material.The employee must occasionally lift or move up to 25 pounds.The noise level in the work environment is usually low to moderate. FlightSafety is an Equal Opportunity Employer/Vet/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Cybersecurity Notice: All official recruiting communication from FlightSafety International will come from an @flightsafety.com email address. FlightSafety International will never ask for personal or financial information through social media or third-party email providers.