Magna Legal Services is a trusted nationwide partner to law firms, corporations, insurance carriers, and government agencies, delivering comprehensive legal support at every stage of a case. From court reporting and record retrieval to jury consulting, investigations, litigation graphics, and language services, we help our clients navigate complex legal challenges with confidence. Our reputation is built on the expertise, dedication, and professionalism of our team, and we’re proud to foster a culture where talented people can do meaningful work and grow their careers.
Primary Responsibilities
Own the technical direction, architecture, and ongoing evolution of our Snowflake data warehouse, with accountability for performance, scalability, security, reliability, and cost efficiency.
Lead the design, development, and standardization of scalable ETL/ELT pipelines across data sources and destinations, including the 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 tools such as 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 that support decision-making across the company.
Provide technical guidance through solution design and code reviews, mentor data engineers and analysts, and help the team resolve complex technical challenges.
Evaluate and introduce tools, patterns, and process improvements that strengthen 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 across the organization.
Desired Background
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 and 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; experience modernizing or migrating legacy data pipelines is preferred.
Demonstrated technical leadership through mentoring, design and code reviews, engineering standards, and cross-functional delivery, with strong communication and prioritization skills.
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