Magna Legal Services is a leading provider of comprehensive legal support, dedicated to helping clients navigate complex challenges through expertise and innovation. We are currently seeking a hands-on Lead Data Engineer to take ownership of our enterprise data platform, driving the architecture, development, and modernization of our data infrastructure in a fully remote environment.
Key responsibilities
- Own the technical direction and evolution of our Snowflake data warehouse, ensuring high performance, scalability, security, and cost efficiency.
- Design and standardize scalable ETL/ELT pipelines, including the transition toward Azure Data Factory.
- Establish and uphold rigorous engineering standards for code quality, testing, documentation, and data governance.
- Develop dimensional data models and star schemas using modern transformation frameworks like dbt.
- Mentor team members, conduct code reviews, and collaborate with business stakeholders to translate data needs into actionable technical roadmaps.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Over 5 years of progressive experience in data engineering with a focus on modern cloud environments.
- Advanced hands-on expertise with Snowflake architecture, performance tuning, and security.
- Strong proficiency in SQL and Python for data processing, automation, and system troubleshooting.
- Proven experience in designing scalable ETL/ELT pipelines and implementing medallion architectures.
- Demonstrated technical leadership skills, including mentoring, cross-functional collaboration, and project delivery.
What we offer
- The opportunity to lead the modernization of a critical enterprise data platform.
- A fully remote work environment that supports professional growth and autonomy.
- Engagement in complex, high-impact data initiatives that drive decision-making across the organization.
- A collaborative culture that values technical excellence, innovation, and mentorship.