Solution Architect Multi-Cloud DBaaS Platform (Azure / AWS / GCP)

Job Title: Solution Architect Multi-Cloud DBaaS Platform (Azure / AWS / GCP) Location: Bangalore Department: Customer Success Reports To: VP Customer Success Role Summary We are looking for a Solution Architect to lead the architecture and technical direction of our multi-cloud Database-as-a-Service (DBaaS) platform spanning Azure, AWS, and GCP. This role will drive system architecture strategy, ensure cross-team technical alignment, and establish scalable, secure, and cloud-native design principles for a globally distributed DBaaS product. The architect will define cloud-agnostic patterns while leveraging cloud- native capabilities across hyperscalers. Core Mission Drive cloud-native architecture strategy across Azure, AWS, and GCP. Ensure cross-functional technical alignment across product, engineering, DevOps, security, and SRE. Design scalable, multi-tenant, high-availability DBaaS systems. Establish reusable patterns for automation, provisioning, and lifecycle management. Key Responsibilities 1 Multi-Cloud Architecture Strategy Define and own the reference architecture for DBaaS across: o Microsoft Azure o Amazon Web Services o Google Cloud Platform Design control plane and data plane separation models. Define cloud-agnostic abstractions for provisioning and lifecycle management. Architect multi-region, cross-cloud DR strategies. Evaluate managed services vs self-managed deployment models. 2 DBaaS Platform Engineering Leadership Design and govern architecture for: Automated database provisioning & de-provisioning Self-service portal & API-driven consumption Auto-scaling and elastic capacity management Backup, PITR, and cross-region disaster recovery Observability & telemetry Cost optimization (FinOps alignment) 3 Database & Engine Architecture Architect and standardize DBaaS support for: Managed services (RDS, Azure SQL, Cloud SQL equivalents) Self-managed containerized databases on Kubernetes Hybrid deployment models (Cloud + On-Prem) Deep expertise expected in: Oracle PostgreSQL MySQL SQL Server 4 Cloud-Native Design & Automation Lead Kubernetes-based orchestration strategies. Define Infrastructure-as-Code standards (Terraform, ARM, CloudFormation). Architect GitOps-driven deployment pipelines. Define CI/CD integration standards. Implement API-first and microservices architecture patterns. 5 Scalability, Reliability & SRE Alignment Define SLOs, SLAs, and error budgets. Architect high-availability patterns per cloud. Design failure isolation and blast-radius reduction strategies. Ensure platform resilience under multi-tenant workloads. 6 Security & Compliance Architecture Implement Zero-Trust architecture. Architect IAM federation across Azure AD, AWS IAM, and GCP IAM. Ensure encryption (KMS / Key Vault / Cloud KMS). Design network isolation (VPC/VNet, private endpoints). Support compliance frameworks (SOC2, ISO, GDPR). 7 Cross-Team Technical Governance Lead Architecture Review Boards. Standardize design documentation practices. Align multiple engineering squads on shared cloud frameworks. Reduce technical debt via architecture governance. Required Experience 12+ years overall experience in distributed systems. 5+ years architecting cloud-native platforms. Strong hands-on experience across at least two hyperscalers (Azure/AWS/GCP). Experience designing SaaS or PaaS platforms. Strong database internals and HA/DR architecture knowledge. Expertise in Kubernetes and container orchestration. Preferred Experience Experience building or modernizing DBaaS platforms. Multi-cloud networking design (VPN, Peering, PrivateLink, Interconnect). Cost governance & FinOps modeling. Experience with observability stacks (Prometheus, Grafana, OpenTelemetry). Cloud Architect certifications (Azure/AWS/GCP). Technical Stack Exposure (Expected) Kubernetes Terraform Helm REST APIs Service Mesh Kafka / Event-driven architectures CI/CD platforms Monitoring & Logging frameworks Leadership Competencies Ability to influence across distributed engineering teams. Strong systems thinking and long-term architectural vision. Decision-making in ambiguity. Executive-level communication capability. Strong documentation and architectural governance mindset. Success Metrics Multi-cloud architecture standardization achieved. Reduced provisioning time across clouds. Improved HA/DR benchmarks. Reduced cross-team rework. Improved platform scalability under enterprise workloads.