Lead Data Engineer - Snowflake (8+ years (with 3+ in Snowflake))

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