Project Manager with Google Cloud Platform Data Engineering Background

Dice is the leading career destination for tech experts at every stage of their careers. Our client, VeridianTech, is seeking the following. Apply via Dice today!Job Title: Project Manager with Google Cloud Platform Data Engineering BackgroundDuration: Full Time (Permanent)Location : Paramus, NJ 07652 (Hybrid schedule: 4 days onsite and 1 day remote per week)Pay Rate: $120k to $130k /year with BenefitsDetailed JD:Experience managing large-scale data/cloud transformations, focusing on Google Cloud Platform 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 Google Cloud Platform. Role OverviewWe are seeking an experienced Technical Project Manager with a strong background in data engineering and the Google Cloud Platform (Google Cloud Platform). 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 Google Cloud Platform data architectures (batch and streaming).Google Cloud Platform Expertise: Guide development using , , , , and .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 Google Cloud Platform. Required QualificationsExperience: 10+ years in IT Project/Program Management.Google Cloud Platform/Cloud Knowledge: Demonstrated experience with Google Cloud Platform 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)