Lead Data Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We’re looking for a Lead Data Engineer with strong expertise in Snowflake-based data platforms , modern data architectures, and AWS, to lead the design and implementation of scalable ingestion and validation solutions for a leading enterprise client. This is a client-facing leadership role , ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows. What will you be doing? Lead the design and implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. Own the development of end-to-end ELT pipelines integrating multiple data sources. Design and enforce data quality frameworks , including validation rules, testing strategies, and monitoring. Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines. Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.). Develop and enhance data validation and ingestion frameworks , including UI components (Streamlit-based) when needed. Act as a technical leader , guiding best practices in data engineering, governance, and pipeline reliability. Proactively identify risks, bottlenecks, a