Lead Data Engineer

Designation – Lead Data Engineer / Sr. Data Engineer Hybrid - 3 days per week between Mon to Thursday. And every month first week it will be 4 or 5 days Work Location: Houston, TX (Houston locals only) Experience: 6-8 + years in Data Engineering, with 2 or 3 years in Snowflake Core Skills: Strong proficiency in Snowflake, SQL and Python Scripting Key Responsibilities: • Designing and implementing scalable data pipelines • Building and managing data warehouses and data lakes • Ensuring data quality and implementing data management best practices • Optimizing data storage and retrieval processes • Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives. • CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub etc. • Monitor and tune Snowflake query performance, warehouse usage, and credit consumption. • Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives. • Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials). • Enabled data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls. • Experience with ETL /Scheduler tools. • Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders. • Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture. Good to have: • Machine Learning and AI/LLM model training / implementation. • Background in data observability, lineage tracking, or metadata management tools.