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Lead Data Engineer

2 hours, 42 minutes ago
Anywhere
Full-time
Lead
Data Engineer
Software Development
dbt Git 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 11

Description

  • Own the 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, including the transition toward Azure Data Factory.
  • Establish engineering standards for code quality, testing, documentation, version control, deployment, monitoring, and data quality.
  • Design and develop dimensional data models, star schemas, and medallion architectures using dbt, Sigma, and related technologies.
  • Partner with technical and business stakeholders to prioritize data needs and deliver reusable data solutions.
  • Provide technical guidance through solution design and code reviews, mentor engineers and analysts, and resolve complex technical challenges.
  • Evaluate tools, patterns, and process improvements to improve scalability, reliability, maintainability, and delivery efficiency.
  • Lead data engineering initiatives from requirements through delivery while promoting governance, literacy, and responsible data practices.

Requirements

  • Bachelor’s degree in computer science, information technology, engineering, or a related field.
  • 5+ years of progressive data engineering experience, including ownership of complex initiatives and technical leadership in a modern cloud data environment.
  • Advanced hands-on experience with Snowflake data warehouse architecture, performance tuning, security, access controls, and cost optimization.
  • Advanced SQL skills and strong experience with Python or another scripting language for data processing, automation, and troubleshooting.
  • Experience designing and operating scalable ETL/ELT pipelines, including orchestration, testing, monitoring, and production support.
  • Experience with dimensional modeling, star schemas, 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.
  • Strong communication, collaboration, and prioritization skills.

Interested in this position?

Apply directly on the company website

Apply Now

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