About Us:
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, we can provide strategic advantages to our clients by offering legal support services at every stage of their legal proceedings.
Job Description:
Job Title: Senior Manager - Data Engineering
Position Summary:
This role will continue building and maturing our data platform. We have made meaningful investments in our Snowflake-based architecture and dbt modeling layer, and we are looking for a leader who can accelerate that momentum — raising the quality bar on our data models, expanding coverage across new domains, and establishing the conventions and processes that will carry the platform forward as the business grows.
You will lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with analytics, product, and operations stakeholders to turn raw data into reliable, well-modeled assets that teams can trust and build on. This is a hands-on leadership role — the ideal candidate is equally comfortable reviewing a dbt PR, designing a new data model, and running a team planning session.
Key Responsibilities:
Snowflake Platform
Qualifications:
Bachelor’s degree in computer science, Information Technology, Engineering, or a related field
7+ years in data engineering, with at least 2 years in a team lead or management role
Deep, production-grade Snowflake expertise — you have designed warehouse architectures, optimized query performance, managed costs, and implemented enterprise security controls
Fluency with dbt: you have built and maintained dbt projects at scale and can articulate opinionated best practices
Hands-on Azure Data Factory experience
Strong SQL skills and proficiency in Python for data pipeline development and automation
Proven ability to lead and grow a small team while remaining technically engaged
Strong communicator who can translate complex data concepts to non-technical stakeholders and contribute to strategic planning conversations
Nice to have:
Familiarity with data observability tooling (Elementary, Monte Carlo, or similar).
Exposure to Snowflake Cortex, Snowpark ML, or other AI/ML capabilities on Snowflake
Experience in a high-growth or scale-up environment where standards were built from the ground up
Compensation: USD $140,000 - $170,000 per 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.
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.
