Lead Data Engineer Snowflake Support

Key Responsibilities:

• Support Snowflake Native Apps built by developers across the enterprise
• Review the design, development, and optimization of native apps using Snowflake and Snowpark Container Services
• Troubleshoot complex SQL queries, UDFs, and Python scripts for data processing in client environments
• Engage directly with clients to understand business needs, present technical designs, and resolve application use issues
• Ensure data quality, security, and performance across all stages of the data lifecycle
• Coordinate with support engineers and provide a bridge to data engineering
• Collaborate with cross-functional teams including Product, Analytics, and DevOps

Required Skills & Experience:

• 6+ years of experience in Data Engineering or related field
• 3+ years of experience working in client-facing roles, including requirement gathering, solutioning, and demos
• Hands-on expertise with Snowflake (warehouse management, resource monitoring, Snow pipe, etc.)
• Strong SQL programming and performance tuning skills
• Proficiency in Python, including creating and managing UDFs
• Experience building or supporting Snowflake native applications
• Familiarity with Snowpark Container Services and deploying containerized workloads in Snowflake

Good to Have Skills:

• Strong understanding of data modelling, ETL/ELT processes, and cloud data architecture
• Excellent problem-solving, communication, and leadership skills

Preferred Qualifications:

• SnowPro certifications
• Experience with CI/CD pipelines
• Exposure to Tableau, Power BI, or other visualisation tools (nice to have)
• Leader of client-support or escalation teamRole & responsibilities

Preferred candidate profile