Senior Data Engineer / Data Architect (Databricks & Snowflake) urgent Need

Position Senior Data Engineer / Data Architect (Databricks & Snowflake) Location Boston, MA – Hybrid Job Type Contract Duration Long term Job Summary We are seeking a highly experienced Senior Data Engineer / Data Architect with deep expertise in Databricks, Snowflake, and Azure cloud data platforms. The ideal candidate will have extensive experience designing and implementing scalable data pipelines, Lakehouse architectures, and real-time data processing solutions, particularly in regulated domains such as Life Sciences or Healthcare. This role requires strong proficiency in Spark (PySpark), Delta Lake, Medallion architecture, and cloud-native data engineering practices, along with a solid background in data warehouse modernization and performance optimization. Key Responsibilities Design and implement end-to-end data engineering pipelines using Azure Databricks, ADLS Gen2, and Snowflake. Develop scalable ETL/ELT pipelines using PySpark, Spark SQL, Python, and Talend. Build and maintain Lakehouse architecture using Delta Lake and Medallion (Bronze, Silver, Gold) layers. Implement real-time and batch data ingestion pipelines, including streaming using Spark Structured Streaming. Design and enforce data governance, access control, and lineage using Unity Catalog. Optimize Spark workloads through partitioning, caching, broadcast joins, and cluster tuning to improve performance and reduce cloud costs. Architect and manage CI/CD pipelines using Azure DevOps, Jenkins, and Git for automated deployments. Integrate multiple data sources and systems, ensuring high-quality, reliable, and scalable data delivery. Collaborate with cross-functional teams including data analysts, scientists, and business stakeholders to support analytics and reporting needs. Support data warehouse modernization initiatives, including migration from legacy systems to cloud platforms. #J-18808-Ljbffr