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.