A remote Data & ML role at Magna Legal Services.
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Original listing text, shown exactly as published by the company.
Snowflake Platform
Serve as the internal authority on Snowflake architecture, performance tuning, cost governance, and security (RBAC, data masking, network policies).
Design and maintain a scalable, well-documented warehouse structure including database, schema, and object hierarchy standards.
Drive Snowflake feature adoption — dynamic tables, Snowpark, data sharing, and emerging capabilities.
dbt & Transformation Layer
Own the dbt project end-to-end: modeling conventions, testing strategy, documentation standards, and CI/CD integration.
Establish and enforce a layered modeling approach (staging → intermediate → marts) that downstream teams can trust and self-serve.
Azure Data Ecosystem
Lead the design and operation of data pipelines on Azure, including Azure Data Factory
Ensure reliable, monitored data movement from source systems into Snowflake with clear SLAs and alerting.
Team Leadership
Manage, mentor, and grow a team of data engineers — running regular 1:1s, setting performance goals, and building a culture of engineering excellence.
Own hiring, onboarding, and career development for the data engineering function.
Standards & Governance
Define and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Champion data quality, observability (e.g., dbt tests), and lineage across the platform.
Proactively identify opportunities for data process improvements and lead initiatives to implement these changes.
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
Familiarity with data observability tooling (Elementary, Monte Carlo, or similar).…
Magna Legal Services
Data & ML
31 open roles on Sydicom
Magna Legal Services provides comprehensive litigation support to law firms and corporations. Their offerings include jury consulting, court reporting, and trial presentation services.
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