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 1️⃣ 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.

2️⃣ 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)

3️⃣ 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

4️⃣ 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.

5️⃣ 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.

6️⃣ 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).

7️⃣ 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.