GCP Solutions Architect

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.

• 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.