Area(s) of responsibility
Role SummaryWe are seeking a seasoned Senior Azure Data Engineer / Sr. Technical Lead with extensive expertise in Azure Databricks, PySpark, ADF, SQL, and modern data engineering practices. This role requires strong technical leadership, hands on engineering capabilities, and the ability to design, architect, and deliver enterprise-scale data solutions. The ideal candidate will lead complex data initiatives, mentor engineering teams, and collaborate with cross-functional stakeholders to build a robust and scalable data ecosystem on Azure.Key Responsibilities1. Solution Architecture & Technical Leadership• Lead the design, development, and deployment of large-scale data engineering solutions using Azure Databricks, PySpark, SQL, ADF, and Azure Data Lake.• Architect end-to-end Modern Data Warehouse (MDW) and Lakehouse solutions, ensuring scalability, performance, security, and cost optimization.• Define technical standards, coding best practices, reusable frameworks,



and architectural guidelines for engineering teams.• Provide technical leadership across the project lifecycle—requirements analysis, solution blueprinting, estimation, development, and deployment.2. Data Pipeline Engineering• Build, optimize, and maintain scalable, high performance ELT/ETL pipelines to process large volumes of structured and unstructured data.• Set up complex data ingestion frameworks, enabling seamless integration with on-premise systems, cloud services, APIs, and third-party sources.• Ensure high availability, data reliability, and error-resilient orchestration workflows in Azure Data Factory.3. Azure Databricks & PySpark Expertise• Design and implement advanced transformation logic using PySpark on Databricks, ensuring productive data processing and code modularity.• Utilize Delta Lake capabilities—ACID transactions, schema evolution, versioning, time travel—to manage enterprise-grade datasets.• Perform cluster-level tuning, optimization of shuffle operations,

📌 Technical Lead-Data Engg (Noida)
🏢 Birlasoft
📍 Noida