DevOps Architect

About the Company

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.

About the Role

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.

Responsibilities

DevOps Architecture & Strategy Define and implement enterprise DevOps architecture, standards, and best practices. Design highly scalable and resilient CI/CD frameworks using Jenkins. Architect end-to-end DevOps pipelines supporting DBT, Airflow, and Snowflake workloads. Establish DevSecOps practices including automated security scanning and compliance checks. Provide technical leadership, governance, and mentoring to DevOps and Data Engineering teams.

Kubernetes & Containerization Architect and manage containerized workloads using Kubernetes. Design Kubernetes cluster strategy (multi-namespace, multi-environment, HA, auto-scaling). Implement Helm charts, deployment strategies (blue-green, canary), and cluster security policies. Optimize container orchestration for Airflow and related data services.

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

Architect DevOps workflows within the Data coves framework. Design and govern Airflow DAG orchestration, monitoring, and failure recovery strategies. Implement automated DBT deployment frameworks with version-controlled CI/CD. Establish testing, lineage, and observability standards for data pipelines.

Snowflake Administration & Optimization Lead Snowflake platform administration including: Role-based access control (RBAC) Warehouse sizing & performance tuning Resource monitors & cost governance Secure data sharing

Implement Snowflake CI/CD integration with Jenkins and DBT. Architect secure network integrations and private connectivity where applicable. Ensure high availability, disaster recovery, and backup strategies.

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.

Governance, Automation & Observability Implement Infrastructure as Code (IaC) using Terraform/CloudFormation (if applicable). Establish monitoring and observability frameworks for pipelines and infrastructure. Lead root cause analysis, incident response automation, and platform reliability engineering. Drive continuous improvement in DevOps maturity and platform automation.

ETL / ELT Orchestration & Automation Design ELT-first architecture leveraging Snowflake processing power. Orchestrate complex workflows using Apache Airflow: DAG dependency management SLA monitoring Automated recovery workflows

Implement CI/CD for: DBT deployments Airflow pipelines Snowflake objects

Build data observability frameworks (pipeline monitoring, anomaly detection).

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) Snowflake Administration SSL/TLS certificate management

Strong knowledge of CI/CD, Git branching strategies, and release management. Advanced SQL proficiency and strong understanding of data warehousing principles. Experience with scripting/programming (Python preferred). Experience working in Agile/Scrum environments.

Required Skills

Jenkins (Pipeline as Code, shared libraries, distributed builds) Kubernetes (cluster architecture, scaling, security) Data coves (DBT + Airflow orchestration) Snowflake Administration SSL/TLS certificate management

Preferred Skills

Experience with scripting/programming (Python preferred).