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Technical Architect, Data, ETL

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Onsite

Technical Architect, Data, ETL

Tata Consultancy Services

Technical Architect, Data, ETL

Skills

Google Cloud PlatformDockerJavaMicroservicesSpring BootDatabricksAWSKubernetesPySparkAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

23 August 2026

What they need


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 modern 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 .

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