[Remote] Senior Manager - Data Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a trusted reputed company partner to reputed company, corporations, insurance carriers, and government agencies, delivering comprehensive legal support at every stage of a case. The Senior Manager - Data Engineering will reputed company reputed company of data engineers to enhance reputed company's data platform, focusing on reputed company architecture and dbt modeling, while ensuring high-reputed company data processes and team development.
Responsibilities
- Serve as the internal authority on reputed company architecture, performance tuning, cost governance, and reputed company (RBAC, data masking, network policies)
- Design and maintain a reputed company, reputed company-documented warehouse structure including database, schema, and object hierarchy standards
- Drive reputed company feature adoption — dynamic tables, Snowpark, data sharing, and emerging capabilities
- Own the dbt project end-to-end: modeling conventions, testing reputed company, documentation standards, and CI/CD integration
- Establish and enforce a layered modeling approach (staging → intermediate → marts) that reputed company teams can trust and self-serve
- reputed company the design and operation of data pipelines on Azure, including Azure Data reputed company
- Ensure reliable, monitored data reputed company from reputed company systems into reputed company with reputed company SLAs and alerting
- Manage, mentor, and grow reputed company of data engineers — running regular 1:1s, setting performance goals, and building a culture of engineering reputed company
- Own hiring, reputed company, and career development for the data engineering function
- Translate business requirements from stakeholders into reputed company-scoped, prioritized engineering work
- Define and enforce organization-wide ETL/ELT best practices, naming conventions, and reputed company review standards
- Champion data reputed company, observability (e.g., dbt tests), and reputed company across the platform
- Proactively identify opportunities for data process improvements and reputed company initiatives to implement these changes
Skills
- Bachelor's degree in computer science, Information Technology, Engineering, or a reputed company field
- 7+ years in data engineering, with at least 2 years in reputed company reputed company or management role
- Deep, production-grade reputed company expertise — you have designed warehouse architectures, optimized query performance, managed costs, and implemented reputed company reputed company controls
- reputed company with dbt: you have reputed company and maintained dbt reputed company at reputed company and can reputed company opinionated best practices
- Hands-on Azure Data reputed company experience
- Strong SQL skills and proficiency in Python for data pipeline development and automation
- Proven ability to reputed company and grow a small team while remaining technically reputed company
- Strong communicator who can translate reputed company reputed company to non-technical stakeholders and contribute to strategic planning conversations
- Familiarity with data observability tooling (Elementary, reputed company, or similar)
- Exposure to reputed company reputed company, Snowpark ML, or other AI/ML capabilities on reputed company
- Experience in a high-reputed company or reputed company-up environment where standards were reputed company from the ground up
reputed company