Mindruby Technologies - Lead Data Engineer - Snowflake DB

Role Overview We are looking for a Lead Data Engineer - Snowflake who will own end-to-end data engineering delivery, lead a team, and drive scalable data solutions on Snowflake. The role requires strong technical expertise along with client-facing and delivery management capabilities. Key Responsibilities • Technical & Architecture • Design and implement scalable data warehouse solutions using Snowflake. • Develop and optimize ETL/ELT pipelines. • Perform data modeling (dimensional modeling, star/snowflake schemas). • Ensure performance tuning, cost optimization, and workload management in Snowflake. • Implement data security, RBAC, governance, and compliance standards. • Hands-on experience with Snowflake Streams & Tasks for data processing and orchestration. • Experience implementing and managing Snowpipe for automated data ingestion. • Troubleshoot pipeline failures, warehouse contention, query spills, and task failures. Team Leadership • Lead and mentor the data engineering team, drive technical standards, conduct code reviews, and ensure continuous improvement. Delivery Management • Own end-to-end project planning and execution, ensuring timely delivery and high stakeholder satisfaction while collaborating with cross-functional teams. Client & Presales Engagement • Participate in presales and solutioning discussions. • Understand client requirements and propose scalable architectures. • Provide technical presentations and effort estimations. Required Skills & Experience • 6-8 years of experience in Data Engineering (5-6 years may be considered with strong exposure). • 3+ years of hands-on Snowflake experience. • Strong SQL and performance optimization skills. • Experience with ETL tools (DBT, Airflow, Informatica, Talend, etc.). • Experience working on cloud platforms (AWS / Azure / GCP). • Strong communication and client interaction skills. • Proven experience in team handling and project delivery. Good To Have • Snowflake certification • Experience with Snowflake Dynamic Tables. • Exposure to CI/CD implementation for Snowflake objects (Git-based deployments). • Experience in defining migration validation strategies for data warehouse projects. • Ability to perform credit workload sizing and cost estimation for Snowflake environments. (ref:hirist.tech)