GCP Data Platform Architect - Presales & AI

Virtusa; New York (NY); Remote; USD 180,000 - 240,000; Full time

Job summary

Virtusa seeks a Google Cloud Data Architect to lead data platform solution architecture and presales engagements for enterprise customers adopting Google Cloud technologies. This role will collaborate with sales, client stakeholders, and engineering teams to design scalable data platforms, analytics, and AI-driven solutions on Google Cloud.

The ideal candidate brings deep data engineering and cloud-native architecture expertise to translate complex business requirements into innovative data

Qualifications

• 15+ years in software engineering, data engineering, or enterprise architecture.
• 6+ years 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.

Responsibilities

• 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.
• 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.
• Integrate AI and machine learning capabilities within modern data platforms.
• Architect solutions leveraging Vertex AI, Gemini models, Generative AI capabilities, LLM-based analytics, Agentic AI frameworks, and RAG architectures to enhance data-driven applications.

Skills

Data architecture

GCP

Presales

Solution design

BigQuery

Looker

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Dataplex

Composer

BigLake

Cloud Storage

Looker

Job description

Virtusa seeks a Google Cloud Data Architect to lead data platform solution architecture and presales engagements for enterprise customers adopting Google Cloud technologies. This role will collaborate with sales, client stakeholders, and engineering teams to design scalable data platforms, analytics, and AI-driven solutions on Google Cloud.

The ideal candidate brings deep data engineering and cloud-native architecture expertise to translate complex business requirements into innovative data