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Job Description

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 :


1. Enhancements & feature development

2. 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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