Technical Delivery Manager

Delivery Manager – Data Engineering Job Summary We are seeking a Delivery Manager with strong expertise in data engineering to drive end-to-end delivery of data platforms using Azure and Databricks. The role focuses on leading large-scale data initiatives, ensuring delivery excellence, and providing technical oversight across Python and Spark-based data solutions. Roles & Responsibilities Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards Drive execution across multiple data initiatives within Azure and Databricks environments Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark Collaborate with business stakeholders, data engineers, and architects to translate requirements into efficient data solutions Ensure adoption of Agile practices including sprint planning, tracking, and continuous improvement Establish governance frameworks, proactively manage risks, and ensure adherence to data engineering best practices Communicate project progress, risks, and outcomes effectively to stakeholders Lead, mentor, and guide data engineering teams towards high performance and delivery excellence Required Skills Strong experience with Databricks, PySpark, Python, and Spark Expertise in Azure Data Services including ADF, ADLS, and Synapse Proven experience in delivery management, stakeholder management, and Agile execution