Technical Architect, Data, ETL (Delhi)

Technical Architect, Data, ETL (Delhi)

25 Aug
|
Tata Consultancy Services
|
Delhi

25 Aug

Tata Consultancy Services

Delhi

Role- Technical Architect, Data, ETL

Desired Experience Range- 6-12Years

Location- Noida

Job Summary-

We are seeking an experienced Technical Architect with strong 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

1. 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.

2. 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.

3.



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).

4. 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.

5. 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

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