Technical Lead-DevOps

Area(s) of responsibility

.DevOps Architect - Data & Cloud Platforms

Location: Offshore India

Experience: 12+ Years

Employment Type: Full-time

Job Summary

We are seeking an experienced DevOps Architect (12+ years of experience) to lead the design, implementation, and governance of enterprise-grade DevOps and Data Platform infrastructure. This role will be responsible for architecting scalable CI/CD frameworks, containerized deployments, secure cloud-native environments, and enterprise data operations across Snowflake and Data coves (DBT + Airflow). The ideal candidate will combine deep DevOps expertise with strong data platform experience and security-first architecture thinking.

Key Responsibilities

1.DevOps Architecture & Strategy

• Define and implement enterprise DevOps architecture, standards, and best practices.
• Design highly scalable and resilient CI/CD frameworks using Jenkins.
• Provide technical leadership, governance, and mentoring to DevOps and Data Engineering teams.

2. Kubernetes & Containerization

• Architect and manage containerized workloads using Kubernetes.
• Design Kubernetes cluster strategy (multi-namespace, multi-environment, HA, auto-scaling).
• Optimize container orchestration for Airflow and related data services.

3. Data coves (DBT + Airflow) Platform Architecture

• Architect and govern DBT transformation layers:
• Staging models
• Intermediate models
• Data marts
• Implement:
• Incremental models
• Snapshot strategies for historical tracking
• Surrogate key management
• Establish testing, lineage, and observability standards for data pipelines.

4. Snowflake Administration & Optimization

• Lead Snowflake platform administration including:
• Role-based access control (RBAC)
• Secure data sharing

5. Security & SSL Management

• Architect and manage SSL/TLS certificate lifecycle management.
• Implement certificate rotation, renewal automation, and secure endpoint configurations.
• Ensure secure communication between services, APIs, and data platforms.
• Enforce encryption standards for data at rest and in transit.
• Collaborate with InfoSec teams to meet enterprise compliance requirements.

Required Qualifications

• 12+ years of experience in Data Engineering and Enterprise Data Platforms.

• Deep hands-on expertise in:
  • Jenkins (Pipeline as Code, shared libraries, distributed builds)
  • Kubernetes (cluster architecture, scaling, security)
  • Data coves (DBT + Airflow orchestration)
• Strong knowledge of CI/CD, Git branching strategies, and release management.