Snowflake Data Movement Engineer

Role Description

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.
  • Implement validation, reconciliation, and consistency checks within pipelines.
  • Ensure data accuracy, completeness, and consistency across systems.
  • Support governance initiatives including metadata management and data lineage.
• Collaboration, Leadership & Documentation
  • Provide technical leadership, code reviews, and mentoring to junior team members.
  • Collaborate with business stakeholders, data architects, and application teams.
  • Communicate issue status, risks, and resolution timelines clearly.
  • Maintain comprehensive documentation for Snowflake processes, fixes, and scripts.
  • Develop and maintain production support playbooks and ticket resolution procedures.
  • Prepare effort estimates and provide regular reporting on issue trends and improvement initiatives.

Qualifications

• 5 or more years of experience in data warehousing, business intelligence, or data analysis.
• 3 or more years of SQL development experience across multiple platforms including Snowflake, Oracle, SQL Server, or DB2.
• 5 or more years of experience supporting Snowflake development and data warehousing solutions.
• Strong expertise in Snowflake development, data modeling, and security.
• Strong proficiency in SQL and scripting languages such as Python or Shell.
• Experience working with cloud database technologies.
• Experience with orchestration tools such as Airflow or ESP.
• Familiarity with version control systems including Git.
• Experience with incident management tools such as ServiceNow or Jira.
• Strong understanding of data architecture, dimensional modeling, and Data Vault frameworks.
• Proven ability to work independently with strong analytical and problem-solving skills.

Preferred Qualifications

• Snowflake certification.
• Experience implementing CI/CD practices for data pipelines.
• Experience supporting enterprise-scale ETL and production environments.

Core Skills & Attributes

• Strong analytical thinking and troubleshooting skills.
• Ability to lead complex initiatives and mentor team members.
• Strong organizational and time management capabilities.
• Clear communication with technical and non-technical stakeholders.
• Attention to detail and commitment to data quality and reliability.

Benefits

• Competitive salary.
• Remote location.
• Senior Level (5 or more years of relevant experience).

This is a remote position.