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.