Databricks Engineer - Senior/ Lead

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 are looking for an experienced Azure Databricks Engineer with strong hands-on expertise in Python, SQL, and Apache Spark to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices.   Responsibilities  Design, develop, and maintain scalable data pipelines using Azure Databricks  Implement ETL/ELT workflows using PySpark, Spark SQL, and Python  Optimize Spark jobs for performance, cost, and scalability  Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)  Build and manage Delta Lake tables (ACID, time travel, schema evolution)  Integrate Databricks with Azure Data Lake Storage (ADLS Gen2)  Develop complex queries and transformations using SQL  Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases  Ensure data quality, validation, and monitoring  Follow best practices for security, access control, and governance in Azure  6+ years of experience in Data Engineering  Strong hands-on experience with Azure Databricks  Proficiency in Python for data processing  Strong knowledge of SQL (joins, window functions, performance tuning)  Hands-on experience with Apache Spark / PySpark  Experience working with Delta Lake  Knowledge of Azure Data Lake Storage (ADLS Gen2)  Understanding of distributed computing concepts  Experience with Git version control  Experience with Azure Data Factory  Exposure to CI/CD pipelines (Azure DevOps, GitHub Actions)  Basic understanding of data modeling  Familiarity with cloud security and RBAC in Azure  Exposure to streaming data (Spark Structured Streaming, Event Hub, Kafka)