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.