Senior Data Eng Manager — Snowflake Architect & Azure Lead

Magna Legal Services, LLC; United States; Remote; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Magna Legal Services, LLC is seeking an experienced Data Engineering Lead to architect and govern Snowflake-based data platforms across the organization. You will own the dbt project end-to-end, mentor a growing team of data engineers, and drive Azure Data Factory data pipelines.

You will design scalable warehouse structures, enforce ETL/ELT best practices, and champion data quality, observability, and lineage while partnering with legal teams and stakeholders to deliver trusted data assets.

Qualifikationen

• 7+ years in data engineering with leadership or management experience.
• Production-grade Snowflake expertise including architecture and cost management.
• Fluency with dbt at scale.
• Strong SQL skills and Python data pipelines.

Aufgaben

• Serve as the internal authority on Snowflake architecture, performance tuning, cost governance, and security.
• Design and maintain a scalable, well-documented warehouse structure.
• Own the dbt project end-to-end, including modeling conventions, testing strategy, and CI/CD integration.
• Lead the design and operation of data pipelines on Azure using Azure Data Factory.
• Manage, mentor, and grow a team of data engineers through regular 1:1s and career development.
• Define and enforce organization-wide ETL/ELT best practices and code review standards.
• Champion data quality, observability, and lineage across the platform.

Kenntnisse

Data engineering

Leadership

SQL

Python

Ausbildung

Bachelor's degree

Tools

Snowflake

Azure Data Factory

dbt

CI/CD

Jobbeschreibung

Magna Legal Services, LLC is seeking an experienced Data Engineering Lead to architect and govern Snowflake-based data platforms across the organization. You will own the dbt project end-to-end, mentor a growing team of data engineers, and drive Azure Data Factory data pipelines.

You will design scalable warehouse structures, enforce ETL/ELT best practices, and champion data quality, observability, and lineage while partnering with legal teams and stakeholders to deliver trusted data assets.