Data Team Manager

Responsibilities Own Agile delivery for the Data Engineering team (sprint planning, backlog refinement, daily stand-ups, reviews). Track sprint progress, dependencies, risks, and delivery timelines. Coordinate work across Data Engineers, Architects, and Business stakeholders. Remove blockers and ensure smooth execution across development cycles. Act as the main communication point for progress, risks, and delivery status. Promote structured, repeatable delivery and governance frameworks. Ensure adherence to Agile practices, documentation standards, and release processes. Review solutions to ensure alignment with requirements, scalability, and maintainability. Break down business requirements into clear user stories and delivery tasks. Maintain high-level oversight of Azure-based data platform solutions (ADF, ADLS, Databricks). Our requirements 7 12 years of experience in data platform or data engineering related projects. Experience in Agile delivery, sprint management, or coordination roles. High-level understanding of the Azure data ecosystem and Databricks-based data platforms. Good knowledge of data lifecycle (ingestion, transformation, consumption). Strong delivery, ownership and execution mindset. Excellent stakeholder communication and coordination skills. Ability to manage cross-functional teams and competing priorities. Strong planning, prioritization, and problem-solving skills. Agile / Scrum certification is an advantage. Educational Qualification Required : IT or a related field. Relevant Experience Required: 7-12 years. Breadth of the Role: Global. Internal Stakeholders Interaction: Yes. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.