Senior Google Cloud engineer

Job Overview

We are looking for an experienced Google Cloud Data Architect to join our team and support exciting international projects. This role combines hands-on architecture with solution design and pre-sales activities, making it ideal for someone who enjoys working closely with clients while designing modern cloud data platforms.

Key Responsibilities

• Design end-to-end data and analytics solutions on Google Cloud Platform (GCP)


• Support pre-sales activities, technical solutioning, and proposal development


• Participate in client workshops, discovery sessions, and architecture discussions


• Design scalable, secure, and cost-efficient cloud data platforms


• Collaborate with sales, delivery, and technical teams during new business opportunities


• Define solution architecture, estimations, and implementation approaches


• Advise clients on data modernization, analytics, AI, and cloud transformation initiatives


• Identify technical risks and propose mitigation strategies throughout the solutioning process


• Support project transition from pre-sales into delivery

Required Qualifications

What We're Looking For

• 8+ years of experience in Data Engineering, Data Architecture, or Cloud Data Solutions


• Strong hands-on experience with Google Cloud Platform


• Excellent understanding of modern data platform architectures


• Experience working directly with business stakeholders and technical teams


• Strong communication and presentation skills


• Ability to work independently while collaborating within international teams


• Comfortable working in a fast-paced, client-facing environment

Technical Skills & Experience

• Strong experience with Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage, and Looker


• Experience designing modern data platforms, including data warehousing, lakehouse architectures, data migration, and real-time/batch processing solutions


• Understanding of data governance, security, and cloud optimization principles


• Experience with AI/ML or GenAI solutions on GCP is a plus


• Knowledge of Google Professional Data Engineer or Cloud Architect certifications is an advantage


• Previous experience in consulting, managed services, enterprise cloud transformations, or technical pre-sales is highly valued

Benefits

• Opportunity to work on large-scale international cloud transformation projects


• Hybrid or remote working opportunities (depending on project requirements)


• Competitive compensation package


• Professional development and certification support


• Exposure to the latest Google Cloud technologies


• Collaborative international environment


• Long-term career opportunities