> Markdown version of [/jobs/ext/4615523-gcp-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4615523-gcp-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Solutions Architect - **Company:** Virtusa Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, BigQuery, Cloud Storage, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Database Applications, Data Flow Control, Apache Hadoop, Meta-Data Management, Cloudera, Software Engineering, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Data Management, Google Gemini, Looker Analytics - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_e1f9c01e5732804dad253da68e716bf1 ## About the Role * 15+ years of experience in software engineering, data engineering, or enterprise architecture. * 6+ years of hands-on experience with Google Cloud Platform (GCP). * Proven experience delivering Google Cloud data platform implementations including data foundations, modern data platforms, and analytics solutions * Strong experience supporting presales engagements, solution proposals, customer workshops, and executive presentations. ## Description This role will work closely with sales teams, client stakeholders, and engineering teams to design and present modern data platforms, analytics, and AI-driven solutions on Google Cloud. The architect will play a key role in customer workshops, solution design, proposals, and technical presentations, helping Virtusa win strategic engagements and drive enterprise data transformation initiatives., * Partner with sales teams and client stakeholders to understand business and technical requirements and translate them into Google Cloud data platform solutions. * Lead customer workshops, discovery sessions, and solution envisioning discussions. * Develop end-to-end solution architectures aligned with business outcomes. * Support RFP/RFI responses, proposal development, and solution documentation. * Lead solution presentations and technical orals with customer stakeholders. * Contribute to deal shaping, solution estimation, and deal closure., * Architect modern data platforms and analytics solutions on Google Cloud. * Design scalable architectures using Google Cloud services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, Composer, BigLake, Cloud Storage, and Looker. * Build solutions for enterprise data lakes, lakehouse platforms, real-time and batch pipelines, advanced analytics platforms, and enterprise BI solutions. * Implement data governance, metadata management, and data quality frameworks. Data Platform Migration & Modernization * Lead migration and modernization of legacy data platforms to Google Cloud. * Architect solutions for data warehouse modernization, Hadoop ecosystem migration, and ETL modernization. * Develop migration frameworks and accelerators that improve time-to-market and cost efficiency., * Architect solutions leveraging Vertex AI, Gemini models, Generative AI capabilities, LLM-based analytics, Agentic AI frameworks, and RAG architectures to enhance data-driven applications.