About the job :

We're looking for a hands-on Principal Technical Architect to own the architecture of a data-intensive, multi-tenant enterprise SaaS platform.

Key Responsibilities :

Platform & Application Architecture :

- Own end-to-end technical architecture: application services, APIs, workflows, integration, and analytical capabilities.

- Define clear boundaries between application, data, integration, and platform layers; establish reusable architectural patterns across product modules.

- Design for high availability, scalability, security, performance, and maintainability.

Data-Intensive & Pipeline Architecture :

- Architect ingestion, transformation, and consumption of large data volumes from multiple enterprise source systems.

- Define data lake / lakehouse / warehouse and operational data store strategies.

- Build scalable, observable data pipelines (Spark, Databricks, Kafka) that scale independently of application workloads.

Multi-Tenant SaaS Architecture :

- Design tenant isolation strategies across application, data, compute, storage, and security layers.

- Define tenant-aware configuration, quotas, resource management, and lifecycle management.

Analytical, AI & Agentic Architecture :

- Architect analytical capabilities using pre-computation, caching, or semantic layers.

- Design and embed AI/ML and GenAI capabilities: LLM integration, RAG pipelines, vector stores, and model serving.

- Architect agentic systems for workflow automation and intelligent decisioning.

Requirements :

- 15+ years designing and building enterprise software, with a Bachelor's or Master's degree in Computer Science or related field.

- Hands-on experience in Python / Java, and React.js is a must.

- Proven track record as a hands-on Software/Solution Architect or Principal Engineer.

- Experience architecting and scaling multi-tenant, data-intensive enterprise SaaS platforms.

- Deep expertise in distributed systems and cloud-native architecture (AWS, Azure, or GCP).

- Strong understanding of APIs, microservices, and event-driven integration.

Technical Expertise :

- Application Architecture: Microservices, Distributed systems, Domain-Driven Design, Event-driven architecture.

- Prog Lang: Python / Java & React.JS.

- Data Technologies: Databricks, Apache Spark, Kafka, Delta Lake, Snowflake.

- Cloud & Platform: AWS / Azure, Kubernetes, Docker, CI/CD, Observability.