Role- Technical Architect, Data, ETL

Desired Experience Range- 6-12Years

Location- Noida

Job Summary-

We are seeking an experienced Technical Architect with robust expertise in Databricks, ETL , Databricks Data Engineer, Pyspark and Microservices architecture to design, build, and govern scalable, resilient, and high-performance enterprise applications. The ideal candidate will have deep knowledge of distributed systems, cloud-native architectures, and contemporary development frameworks.

Key Responsibilities
Architecture Design & Solutioning
Design end-to-end architecture for enterprise-grade applications using Java and Microservices architecture.
Define scalable, highly available, and fault-tolerant system designs.
Create architecture artifacts including diagrams, design documents, and technical roadmaps.
Ensure alignment with enterprise architecture standards and best practices.
Microservices & API Design
Define service decomposition strategies, bounded contexts, and API contracts.
Design RESTful APIs and asynchronous messaging patterns (event-driven).
Apply microservices patterns such as API Gateway, Service Discovery, Circuit Breaker, and Saga.
Guide teams implementing services using Spring Boot/Spring Cloud and related frameworks.




Cloud & Platform Engineering
Architect and deploy cloud-native solutions on Azure/AWS/GCP.
Design containerized applications using Docker and orchestration with Kubernetes (AKS/EKS/GKE).
Ensure scalability, resilience, and operational readiness (autoscaling, health checks, zero-downtime deployments).
Performance, Security & Scalability
Define strategies for performance optimization, caching, and load handling.
Implement security best practices including OAuth2/OIDC, JWT, API security, and data encryption.
Conduct architecture reviews, threat modeling, and non-functional requirement assessments.
Drive observability standards (logging, metrics, tracing) and reliability improvements.
Collaboration & Technical Leadership
Provide technical leadership and mentoring to development teams.
Collaborate with product owners, engineering managers, and DevOps teams for successful delivery.
Participate in code reviews, design reviews, and release planning; ensure adherence to standards.
Document architectural decisions (ADRs), reference implementations, and best practices.

Required Skills-
Technical Architect, Data, ETL, Databricks Data Engineer, Pyspark .

📌 Technical Architect, Data, Etl Delhi
🏢 Tata Consultancy Services
📍 Delhi