Note: The job is a remote job and is open to candidates in USA. Magna Legal Services provides comprehensive legal support services to various clients across the nation. They are seeking a Senior Manager in Data Engineering to lead the development of their data platform, manage a team of data engineers, and ensure the quality and reliability of data assets.
Responsibilities
- 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
- 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
- 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
- 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
- Translate business requirements from stakeholders into well-scoped, prioritized engineering work
- 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
Skills
- 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)
- 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
Company Overview