
Lead Data Engineer
3 weeks ago
Lead Data Engineer - Snowflake
Experience Level: 8+ years (with 3+ in Snowflake)
Role Overview:
We are looking for an experienced Snowflake Team Lead to oversee both development and production support operations within our managed services model. This is a dual-role leadership position requiring strong technical capabilities in Snowflake as well as expertise in managing ongoing production operations, enhancements, and client coordination.
Key Responsibilities:
- Lead a team of Snowflake developers and support engineers providing:
- Enhancements & feature development
- L2/L3 production support (incident management, monitoring, RCA)
- Manage and prioritize the support backlog and enhancement pipeline
- Serve as technical SME for Snowflake development and troubleshooting
- Ensure high platform availability and performance tuning
- Conduct code reviews, performance analysis, and enforce Snowflake best practices
- Coordinate with client stakeholders, DevOps, data engineers, and QA teams
- Own support SLAs, incident resolution timelines, and change management
- Prepare regular service reports and participate in governance calls
Required Skills & Experience:
- 3+ years of hands-on Snowflake development and administration
- 8+ years of experience in data engineering or BI/DW support
- Experience leading teams in a managed services or enterprise support model
- Strong SQL, performance tuning, and debugging skills
- Knowledge of CI/CD, dbt, Python, Azure Data Factory and Airflow or similar orchestration tools
- Familiarity with monitoring tools and Snowflake Account Usage views
- Clear understanding of RBAC, resource monitors, cloning, failover, cost management
Preferred:
- SnowPro Certification (Core/Advanced)
- ITIL certification and experience with ServiceNow or Jira
- Experience with Azure Data Factory, AWS Glue, or GCP Data services
- Experience managing follow-the-sun or 24x7 global support teams
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