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Senior Manager - Data Engineering

2 months, 4 weeks ago
United States
Full-time
Lead
Data Architect
Data Science and Analytics
Azure CI/CD dbt Python Snowflake SQL
Apply Now
Magna Legal Services

Magna Legal Services

Magna Legal Services provides comprehensive litigation support and consulting services to law firms, corporations, and governmental agencies across the nation, specializing in discovery services and jury consulting to enhance legal outcomes.

Specialized Consumer Services
251-1K
Founded 2007
View All Jobs 9

Description

  • Lead and mentor a team of data engineers through regular 1:1s, performance goals, hiring, onboarding, and career development.
  • Own the technical roadmap for the cloud data stack, including Snowflake, Azure, and dbt.
  • Serve as the internal authority on Snowflake architecture, performance tuning, cost governance, and security.
  • Design and maintain a scalable, well-documented warehouse structure and object hierarchy standards.
  • Own the dbt project end-to-end, including modeling conventions, testing strategy, documentation standards, and CI/CD integration.
  • Establish and enforce a layered dbt modeling approach from staging to intermediate to marts.
  • Lead the design and operation of data pipelines in Azure Data Factory and ensure reliable data movement into Snowflake.
  • Define and enforce ETL/ELT best practices, naming conventions, and code review standards across the organization.
  • Champion data quality, observability, and lineage across the platform.
  • Translate business requirements from stakeholders into prioritized engineering work and drive process improvements.

Requirements

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
  • 7+ years of experience in data engineering.
  • At least 2 years of experience in a team lead or management role.
  • Deep, production-grade Snowflake expertise, including warehouse architecture, query performance optimization, cost management, and enterprise security controls.
  • Fluency with dbt and experience building and maintaining dbt projects at scale.
  • Hands-on experience with Azure Data Factory.
  • 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 communication skills with the ability to explain complex data concepts to non-technical stakeholders.
  • Familiarity with data observability tooling such as Elementary, Monte Carlo, or similar, preferred.
  • Exposure to Snowflake Cortex, Snowpark ML, or other AI/ML capabilities on Snowflake, preferred.
  • Experience in a high-growth or scale-up environment where standards were built from the ground up, preferred.

Benefits

  • Compensation of USD $140,000 to $170,000 per year.
  • Opportunity to work in a remote full-time role.
  • Total compensation considerations may include education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, and business needs.
  • Equal employment opportunity and anti-discrimination protections are provided.
  • AI tools may be used to support parts of the hiring process, with final hiring decisions made by humans.

Interested in this position?

Apply directly on the company website

Apply Now

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