FlightSafety International is looking to architect, develop, and guide the implementation of modern data solutions in a cloud-based environment to enable actionable insights through advanced Power BI dashboards and reports.
Requirements
- 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
- Deep expertise in cloud data platforms, especially Azure and Databricks
Responsibilities
- Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals
- 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
- Ensure data quality, governance, and security standards are met across all data products
Other
- Infrequent travel as needed
- 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
- Strong communication and stakeholder engagement skills
