Job Description: 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. 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. As a seasoned Data Engineering Manager with 8+ years of experience, you will lead and grow our data engineering capabilities. You will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization. - Build and manage robust ETL/ELT workflows using Python and SQL, handling both structured and semi-structured data. - Implement distributed data processing solutions using Apache Spark/PySpark for large-scale data transformation. - Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured. - Enforce best practices for data quality, governance, security, and compliance across the entire data ecosystem. - Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure. - Conduct code reviews, define coding standards, and promote engineering excellence across the team. - Mentor and guide junior data engineers, fostering a culture of technical growth and innovation. - Support AI demo initiatives by contributing to UI/front-end/full-stack development, cloud deployment, and rapid prototyping. - Leverage tools like Snowflake, agent frameworks, GenAI, chatbots, and CrewIA to build cutting-edge solutions.