Lead Data Engineer

FlightSafety International is seeking a Lead Data Engineer to architect, develop, and guide the implementation of modern data solutions in a cloud-based environment. The role involves technical leadership, data engineering best practices, and providing actionable insights through Power BI dashboards and reports. The successful candidate will collaborate with stakeholders and ensure data quality and governance standards are met.

Requirements

• Bachelor's degree from an accredited institution or equivalent industry 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
• Strong experience with Python, PySpark, and SQL
• 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
• 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

Benefits

• Equal Opportunity Employer/Vet/Disabled
• Professional Development