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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 Overview
We 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 Responsibilities
Project 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 Qualifications
Experience: 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 Qualifications
Google Cloud Professional Data Engineer Certification.
Background in software development (Python/SQL)
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 Overview
We 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 Responsibilities
Project 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 Qualifications
Experience: 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 Qualifications
Google Cloud Professional Data Engineer Certification.
Background in software development (Python/SQL)