Solution and Data Architect

3 hours ago

Greater Bengaluru Area, India Verdethos Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Solution & Data Architect – Bangalore R&D Center

Location:
 Bangalore, India 
(On-site, full-time – remote work is not an option)

Reports to:
 Director of Engineering (Bangalore) / CTO (USA)

About the Company

We are building a next-generation 
multi-tenant B2B SaaS platform
 on AWS, engineered for scale, security, and speed. Our 
polyglot stack
 blends 

 for product APIs and 
Python/FastAPI
 for data and ML services, backed by 
Aurora Postgres (+pgvector)
, 
Redis/SQS
, 
OpenSearch
, 
API Gateway
, 
ECS/EKS
, and 
S3
.

Our competitive edge comes from 
institutionalizing AI-powered engineering
 — not as a customer-facing feature, but as an 
internal force multiplier
. We embed AI agents and copilots into our SDLC to automate requirement-to-spec pipelines, code scaffolding, test generation, secure code reviews, migration playbooks, observability runbooks, and documentation — while ensuring SOC 2/GDPR compliance and 
tenant isolation
 (schema-per-tenant/RLS).

About the Role

As 
Solution & Data Architect
, you will define and govern the 
application, integration, and data architecture
 for our AI-augmented, multi-tenant SaaS platform.

You 
must be hands-on from a development background
 — capable of writing production-grade code, building prototypes, and guiding implementation decisions. You'll work closely with engineering leads to ensure the architecture you design is 
secure, scalable, and implementable
 in our fast-moving startup environment.

Key Responsibilities

  • Be hands-on
     in building prototypes, coding, and guiding architectural implementation.
  • Define application, integration, and data architecture for the SaaS platform.
  • Design secure, scalable AWS-based solutions using ECS/EKS, API Gateway, S3, Aurora Postgres (+pgvector).
  • Architect data pipelines, storage models, and embeddings search for AI features.
  • Integrate Python/FastAPI ML services into the product ecosystem.
  • Ensure SOC 2/GDPR compliance and enforce tenant isolation (schema-per-tenant/RLS).
  • Collaborate with Director of Engineering and DevOps Lead to align architecture with AI-enhanced SDLC and deployment practices.

Requirements

  • Must be hands-on from a software development background
     — capable of writing production-grade code in at least one backend language .
  • MS in Computer Science, Data Engineering, or related field 
    (mandatory)
    .
  • 10+ years in software/data architecture for SaaS or cloud platforms.
  • Proven expertise in AWS multi-tenant architecture.
  • Strong experience with Aurora Postgres (+pgvector), Redis, OpenSearch.
  • Demonstrated experience integrating AI/ML services into production systems.
  • Strong oral and written communication skills.

Preferred Qualifications

  • AWS Solution Architect Professional or Data Analytics certification.
  • Prior startup experience in designing and delivering large-scale SaaS products.
  • Familiarity with event-driven, microservices-based architecture.

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