This is a remote position. About the Role We are seeking an experienced Technical Project Manager – Data Engineering to lead a Data Operations team responsible for enterprise data ingestion, ETL, and cloud-based data platform initiatives. The ideal candidate will have strong expertise in Agile project delivery, stakeholder management, and data engineering projects, ensuring timely, high-quality delivery of business-critical solutions. Key Responsibilities • Lead Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives. • Manage project backlogs, user stories, and sprint tracking using Jira. • Act as the primary point of contact for client stakeholders, providing project updates, risk assessments, and mitigation plans. • Oversee the delivery of ETL pipelines, data ingestion frameworks, data lake, and data warehouse solutions. • Drive automation initiatives and improve operational efficiency across data operations. • Ensure effective project governance, documentation, and alignment with business objectives. • Facilitate technical discussions between engineering teams and client stakeholders. • Manage project risks, dependencies, escalations, and issue resolution. • Monitor project financials, resource allocation, onboarding, and knowledge transfer activities. • Ensure on-time delivery while maintaining quality standards and stakeholder satisfaction. Key Skills & Qualifications • 10+ years of experience as a Technical Project Manager or Delivery Manager. • Proven experience managing Data Engineering, ETL, Data Lake, and Data Warehouse projects. • Strong expertise in Agile/Scrum methodologies and end-to-end project delivery. • Hands-on experience with Jira for backlog management, sprint planning, and project tracking. • Experience leading distributed and cross-functional technical teams. • Strong stakeholder management, communication, and client-facing skills. • Solid understanding of project governance, delivery metrics, and risk management. • Experience with AWS services such as S3, Redshift, and Glue. • Strong knowledge of ETL processes, data ingestion frameworks, data lakes, and data warehousing. Preferred Skills • Experience with cloud-based data platforms. • Exposure to Marketing Data Platforms or Customer Data Platforms (CDP). • Knowledge of GDPR and data privacy regulations. • Experience working in Time & Material (T&M) engagement models. Apply by sending your CV to [email protected]