[Hiring] Lead Data Engineer @Magna Legal Services

Role Description

Magna Legal Services is seeking a hands-on Lead Data Engineer to provide technical leadership for the design, development, and ongoing evolution of our enterprise data platform. This role will own the architecture and optimization of scalable ETL/ELT pipelines and our Snowflake data warehouse, establish engineering standards, and guide the delivery of reliable data solutions across the organization. The Lead Data Engineer will partner with technical and business stakeholders, mentor team members, and remain actively involved in implementation as we modernize and scale our data infrastructure.

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.

Qualifications

• 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.

Requirements

• $155,000 - $175,000 a year
• An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs.
• The range listed is just one component of the total compensation package for employees.

Benefits

• Magna Legal Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
• This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
• These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
• If you would like more information about how your data is processed, please contact us.