Lead Data Engineer

Overview

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

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 with Azure Data Factory and Azure Data Lake Storage

3+ years of experience with Databricks, Delta Live Tables, and Unity Catalog

3+ years of experience with Power BI dashboard and report development

2+ years of experience with DBT and Apache Airflow

Experience with Data Vault 2.0 modeling (certification preferred)

Strong experience with Python, PySpark, and SQL

Knowledge, Skills, Abilities

Deep expertise in cloud data platforms, especially Azure and Databricks

Strong understanding of ELT/ETL, data modeling, and data warehousing principles

Proven ability to lead and mentor technical teams in a collaborative environment

Advanced skills in Power 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 using Apache Airflow and Databricks 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 within Databricks is 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. #J-18808-Ljbffr