Snowflake Data Movement Engineer

About this role

Benefits:

• Competitive salary

Location
Remote

Experience Level
Senior Level (5 or more years of relevant experience)

Role Overview
The Data Movement Engineer supports the modernization of enterprise data platforms by providing production support and technical leadership for ETL and Snowflake-based data solutions. This role is responsible for designing, optimizing, and supporting data movement frameworks while ensuring data quality, reliability, and performance across systems. The position also provides mentoring and technical guidance to team members and collaborates closely with business and technical stakeholders.

Key Responsibilities

Snowflake Data Operations & Production Support

• Manage the full lifecycle of Snowflake data operations including monitoring, troubleshooting, and optimization
• Provide production support for Snowflake, IBM DB2, and orchestration platforms
• Proactively identify and resolve data integrity, latency, and pipeline failures
• Perform root cause analysis for data discrepancies and operational issues
• Participate in on-call and after-hours production support rotations

Data Pipeline Design & Optimization

• Design, develop, and optimize Snowflake data pipelines and data models
• Translate stakeholder requirements into Snowflake-based data movement solutions
• Develop and optimize SQL queries, warehouse configurations, and performance strategies
• Support Change Data Capture and Slowly Changing Dimensions Type 2 implementations
• Implement best practices for data ingestion, transformation, storage, security, and modeling

Data Architecture & Modeling

• Support dimensional modeling and Data Vault methodologies within Snowflake
• Contribute to architectural decisions for scalable and reliable data solutions
• Ensure alignment with enterprise data architecture and security standards

Data Quality, Governance & Validation

• Perform data quality analysis and propose corrective actions
• Imple...