
Lead Data Engineer
6 days ago
Experience Level: 8+ years (with 3+ in Snowflake)
HYBRID MODEL
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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