Cloud Architect Solutions (Data, AI & Modernization) | Google Cloud

Experience: 10–15 years overall, with 3–5+ years on Google Cloud

Location: Pan India

Role Type: Hands-on Solution Architecture | Sales Support | Multi-Domain Generalist

Role Overview The Senior Cloud Architect – Solutions (Data, AI & Modernization) is a hands-on, broad-based solution architect responsible for designing and delivering end-to-end Google Cloud solutions spanning data platforms, AI workloads, application modernization, and cloud foundations.

This role is designed for a well-rounded Google Cloud architect who can flex across multiple solution domains and act as a force multiplier for Tech Mahindra's Google Cloud solutions and sales support efforts. The role works closely with the Head of Google Cloud Solutions & Architecture and the AI SME architect, providing scale, coverage, and execution depth across customer engagements and solution initiatives.

Key Responsibilities

End-to-End Solution Architecture

- Design complete Google Cloud solutions covering data, AI, application, and platform layers
- Translate business requirements into holistic architectures rather than point solutions
- Balance architectural trade-offs across cost, performance, scalability, and security

Data and AI Solution Support

- Design and support data platforms using BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage
- Support AI and GenAI solutioning including model integration, pipelines, and application integration
- Lead or support hands-on PoCs and pilots for data and AI use cases when required
- Collaborate closely with the AI SME on advanced AI solution builds and customer engagements

Application and Platform Modernization

- Architect application modernization solutions including containerization and re-platforming
- Design solutions using GKE, Cloud Run, and up-to-date application services
- Support DevOps, CI/CD, and Infrastructure as Code implementation Design cloud foundations that support data, AI, and application workloads

Sales Support and Customer Engagement





- Support strategic sales pursuits and solution-led customer engagements
- Participate in customer workshops, discovery sessions, and architecture reviews
- Clearly explain solution architectures and trade-offs to technical and business stakeholders
- Work closely with sales teams to shape solution narratives and technical positioning

Google Cloud and Internal Collaboration

- Partner with Google Cloud architects and specialists across data, AI, and platform domains
- Support development of reusable solution assets, reference architectures, and accelerators
- Contribute to internal enablement and knowledge sharing across solution domains

Technical Skills and Expertise

Data Platforms

- Strong experience with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage
- Understanding of data lakehouse and analytics architecture
- Experience integrating data platforms with applications and AI workloads

AI and GenAI

- Working hands-on experience with Vertex AI and GenAI solution patterns
- Ability to integrate AI models into applications and data workflows
- Understanding of AI lifecycle management, MLOps, and enterprise AI considerations

Application and Platform

- Hands-on experience with GKE, Cloud Run, and Compute Engine
- Experience with containerization, microservices, and API-driven architectures
- Understanding of DevOps pipelines and Infrastructure as Code practices

Cloud Foundations

- Solid understanding of networking, IAM, security, and governance on Google Cloud
- Experience designing scalable, secure, and cost-optimized cloud environments

Non-Technical and Soft Skills

- Strong systems thinking and solution integration mindset
- Ability to context switch across domains and priorities
- Clear communication and stakeholder engagement skills
- Comfort operating in fast-moving and ambiguous environments
- Collaborative mindset with strong ownership orientation

Qualifications and Certifications

- Bachelor's or Master's degree in Engineering or Computer Science
- Google Cloud Professional Architect or Professional Data Engineer preferred
- AI, Data, or Kubernetes certifications are a plus

📌 Cloud Architect Solutions Data AI Modernization GCP (Bengaluru)
🏢 Select Source International
📍 Bengaluru