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Lead Data Engineer
Magna Legal Services. Own the technical direction, architecture, and ongoing evolution of the Snowflake data warehouse, including performance, scalability, security, reliability, and cost efficiency .
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Own the technical direction, architecture, and ongoing evolution of the Snowflake data warehouse, including performance, scalability, security, reliability, and cost efficiency
- Lead the design, development, and standardization of scalable ETL/ELT pipelines across data sources and destinations, including continued evolution toward Azure Data Factory
- Establish and uphold engineering standards for code quality, testing, documentation, version control, deployment, monitoring, and data quality
- Lead the design and development of dimensional data models, including star schemas within a medallion architecture, using dbt, Sigma, and related technologies
- Partner with technical and business stakeholders to translate data needs into a prioritized technical roadmap and deliver trusted, reusable data solutions
- Provide technical guidance through solution design and code reviews; mentor data engineers and analysts
- Evaluate and introduce tools, patterns, and process improvements to improve scalability, reliability, maintainability, and delivery efficiency
- Lead complex and ad hoc data engineering initiatives from requirements through delivery while promoting data governance, data literacy, and responsible data practices
Requirements
What you’ll need- Bachelor's degree in computer science, Information Technology, Engineering, or a related field
- 5+ years of progressive experience in data engineering, including ownership of complex initiatives and technical leadership within a modern cloud data environment
- Advanced hands-on experience with Snowflake, including data warehouse architecture, performance tuning, security and access controls, and cost optimization
- Advanced SQL skills
- Strong experience with a scripting language such as Python for data processing, automation, and troubleshooting
- Strong experience designing and operating scalable ETL/ELT pipelines, including orchestration, testing, monitoring, and production support
- Hands-on experience with dimensional data modeling, star schema and medallion architectures, and dbt or a comparable transformation framework
- Experience with Azure Data Factory or a comparable cloud orchestration platform
- Demonstrated technical leadership through mentoring, design and code reviews, engineering standards, and cross-functional delivery
- Strong communication and prioritization skills
Benefits
Comp & perks- Equal employment opportunity policy
- Compensation and training included among protected employment terms and conditions