Lead Data Engineer - Snowflake

Lead Data Engineer - Snowflake

Experience Level: 8+ years (with 3+ in Snowflake)

Role Overview:

Snowflake Team Lead

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