Project Manager (GCP Data Engineering)

Role : Project Manager with GCP Data Engineering BackgroundLocation : NJ 07652 USA (Hybrid/ 4 Days a week)Detailed JD:Experience managing large-scale data/cloud transformations, focusing on GCP data engineering (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Responsibilities include managing Agile workflows, defining data pipeline requirements, optimizing cost/performance, and driving migration from on-premise to GCP. Role OverviewWe are seeking an experienced Technical Project Manager with a strong background in data engineering and the Google Cloud Platform (GCP). You will lead cross-functional teams to design, build, and deploy robust data pipelines and analytics solutions, ensuring projects are delivered on time, within scope, and on budget. Key ResponsibilitiesProject Delivery: Oversee full-lifecycle development of scalable GCP data architectures (batch and streaming).GCP Expertise: Guide development using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer.Agile Management: Facilitate sprints, manage backlogs in Jira/Confluence, and remove impediments.Stakeholder Engagement: Collaborate with data engineers, architects, and business stakeholders to define requirements and data governance.Performance Optimization: Monitor and optimize data system performance, cost, and security.Data Migration: Lead initiatives for migrating on-premise data environments to GCP. Required QualificationsExperience: 10+ years in IT Project/Program Management.GCP/Cloud Knowledge: Demonstrated experience with GCP data products.Technical Understanding: Solid grasp of ETL/ELT pipelines, data modeling, and warehousing.Methodology: Strong experience with Agile/Scrum.Skills: Exceptional communication, stakeholder management, and leadership skills. Preferred QualificationsGoogle Cloud Professional Data Engineer Certification.Background in software development (Python/SQL)