Job Description: • The Data Platform lead is responsible for leading software design, service architecture, and software development/solution engineering. You will manage engineers, lead design and code reviews within the service, and investigate emerging technologies to drive continuous improvement of the service: Key Responsibilities: • Lead and manage the Snowflake data platform to ensure its scalability, performance, and security. • Collaborate with data engineering and IT security teams to design and implement robust data governance, security policies, and compliance protocols. • Monitor Snowflake usage, performance metrics, and costs to optimize resource utilization and reduce expenses. • Perform regular system audits, update procedures, and improve processes to enhance platform reliability and efficiency. • Manage data storage, archival, recovery, and backup procedures. • Lead in the design and development of large-scale data structures and pipelines and efficient Extract/Load/Transform (ELT) workflows. • Support the integration of Snowflake with other data management and analytics tools. • Provide technical leadership and guidance in the deployment and maintenance of Snowflake features such as Snowpipe, virtual warehouses, and data sharing. • Develop and maintain documentation regarding our data platform's configurations, operations, and troubleshooting procedures. • Train and mentor team members on Snowflake best practices and new features. What we are looking for Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, or a related field. • Minimum of 6 years of experience in data platform administration, specifically with Snowflake. • Strong understanding of SQL and experience with script languages such as Python or JavaScript. • Demonstrated ability to implement and manage virtual warehouses, resource monitors, and data security protocols on Snowflake. • Experience with data modeling, data warehousing, and building ELT pipelines. • Excellent problem-solving skills and the ability to think analytically. • Strong communication and collaboration skills, capable of working effectively in a team environment. • Certifications in Snowflake Data Analyst or Data Engineer or Data Scientist are highly preferred