Job description
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 careers@cliqhr.co.in