Job Description
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 .