Principal Data Engineer
Core
Designing and building complex data architectures, pipelines, and governance frameworks to support enterprise analytics, reporting, and data science initiatives within the cybersecurity domain.
Role type
Principal Data Engineer
Builds
Scalable data platforms, ETL pipelines, data warehouses, and interactive visualization solutions.
Domain
Financial Services / Cybersecurity / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Data Modeling, ETL, Cloud Platforms (AWS/Azure/GCP), Data Warehousing, API Development, Power BI, Airflow, Big Data Technologies
Preferred skills
Machine Learning principles, Statistics, Snowflake administration, DAX/M query, AI tool integration
Technologies
Python, SQL, AWS, Azure, GCP, Snowflake, Power BI, Airflow, Pandas
Responsibilities
Design and build data architectures improving accessibility, efficiency, and governance; collect, clean, and transform traditional and big data; develop interactive data visualizations and provide guidance on Power BI tools; consult on complex data solutions for ingestion and provisioning; document processes and architectures; actively use and validate AI tools to improve work speed and quality.
Seniority
Principal, hands-on IC with mentorship